Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
3413
Single Precision Score
1325
Half Precision Score
4555
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | endallk007 |
| Upload Date | December 10 2024 04:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (MS-7C37) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.6 IPS |
|
|
Image Classification (Q)
|
96% |
5358
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2374
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6757
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5018
5.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
17355
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
58% |
3672
401.2 IPS |
|
|
Face Detection (SP)
|
100% |
5562
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
96% |
8502
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7666
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12564
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15535
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12565
16.2 IPS |
|
|
Style Transfer (Q)
|
87% |
18443
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2717
100.7 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.5 IPS |
|
|
Text Classification (Q)
|
97% |
416
557.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2131
41.2 IPS |
