Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
4695
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 26 2024 03:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1818
340.1 IPS |
|
|
Image Classification (F16)
|
100% |
1762
329.8 IPS |
|
|
Image Classification (I8)
|
99% |
4382
820.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2442
40.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2407
40.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2964
49.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14973
18.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
14752
17.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
40204
48.7 IPS |
|
|
Object Detection (F32)
|
100% |
2029
151.5 IPS |
|
|
Object Detection (F16)
|
100% |
2025
151.1 IPS |
|
|
Object Detection (I8)
|
62% |
2005
149.6 IPS |
|
|
Face Detection (F32)
|
100% |
4009
47.7 IPS |
|
|
Face Detection (F16)
|
100% |
3488
41.5 IPS |
|
|
Face Detection (I8)
|
89% |
5629
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10152
78.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10210
79.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
22953
178.0 IPS |
|
|
Style Transfer (F32)
|
100% |
28449
37.4 IPS |
|
|
Style Transfer (F16)
|
100% |
30357
39.9 IPS |
|
|
Style Transfer (I8)
|
98% |
38323
50.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3562
127.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3732
133.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4648
166.0 IPS |
|
|
Text Classification (F32)
|
100% |
1437
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1461
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
350
502.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2746
50.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3133
57.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3269
60.2 IPS |
