Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
1484
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mweinbach |
| Upload Date | December 08 2023 04:59 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 | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
709
132.6 IPS |
|
|
Image Classification (F16)
|
100% |
711
133.1 IPS |
|
|
Image Classification (I8)
|
100% |
577
108.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1041
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1040
17.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
796
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5353
6.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
5363
6.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
3553
4.30 IPS |
|
|
Object Detection (F32)
|
100% |
786
58.7 IPS |
|
|
Object Detection (F16)
|
100% |
789
58.9 IPS |
|
|
Object Detection (I8)
|
54% |
657
49.0 IPS |
|
|
Face Detection (F32)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (F16)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (I8)
|
89% |
1085
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3104
24.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3116
24.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2382
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11017
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11013
14.5 IPS |
|
|
Style Transfer (I8)
|
98% |
8321
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1856
66.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1863
66.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1007
36.0 IPS |
|
|
Text Classification (F32)
|
100% |
796
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
783
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
415
596.7 IPS |
|
|
Machine Translation (F32)
|
100% |
758
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
761
14.0 IPS |
|
|
Machine Translation (I8)
|
70% |
439
8.08 IPS |
