Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
23445
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mweinbach |
| Upload Date | December 08 2023 04:50 PM |
| Views | 4 |
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% |
10591
1.98 KIPS |
|
|
Image Classification (F16)
|
100% |
10391
1.94 KIPS |
|
|
Image Classification (I8)
|
100% |
9266
1.73 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15129
252.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14747
246.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
14064
234.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
271294
328.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
275439
333.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
236366
286.2 IPS |
|
|
Object Detection (F32)
|
100% |
5302
395.8 IPS |
|
|
Object Detection (F16)
|
100% |
4816
359.5 IPS |
|
|
Object Detection (I8)
|
54% |
5120
382.2 IPS |
|
|
Face Detection (F32)
|
100% |
34499
410.2 IPS |
|
|
Face Detection (F16)
|
100% |
34701
412.6 IPS |
|
|
Face Detection (I8)
|
88% |
29800
354.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
76161
590.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
72551
562.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
59282
459.7 IPS |
|
|
Style Transfer (F32)
|
100% |
424781
558.8 IPS |
|
|
Style Transfer (F16)
|
100% |
429533
565.0 IPS |
|
|
Style Transfer (I8)
|
98% |
378588
498.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43294
1.55 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
44938
1.60 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
35390
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2630
3.78 KIPS |
|
|
Text Classification (F16)
|
100% |
2573
3.70 KIPS |
|
|
Text Classification (I8)
|
98% |
1557
2.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
3646
67.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3568
65.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2246
41.3 IPS |
