Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
24062
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mweinbach |
| Upload Date | December 08 2023 04:48 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10442
1.95 KIPS |
|
|
Image Classification (F16)
|
100% |
10830
2.03 KIPS |
|
|
Image Classification (I8)
|
100% |
9654
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14719
245.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
14957
249.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
14247
237.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
270185
327.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
269497
326.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
237269
287.3 IPS |
|
|
Object Detection (F32)
|
100% |
5348
399.3 IPS |
|
|
Object Detection (F16)
|
100% |
5488
409.7 IPS |
|
|
Object Detection (I8)
|
54% |
5110
381.5 IPS |
|
|
Face Detection (F32)
|
100% |
34988
416.0 IPS |
|
|
Face Detection (F16)
|
100% |
35908
426.9 IPS |
|
|
Face Detection (I8)
|
88% |
31260
371.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
76343
592.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
74482
577.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
60372
468.2 IPS |
|
|
Style Transfer (F32)
|
100% |
444459
584.6 IPS |
|
|
Style Transfer (F16)
|
100% |
444857
585.2 IPS |
|
|
Style Transfer (I8)
|
98% |
381571
501.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
44480
1.59 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45202
1.61 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
35122
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2832
4.07 KIPS |
|
|
Text Classification (F16)
|
100% |
2688
3.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1724
2.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
3778
69.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3739
68.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2332
42.9 IPS |
