Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
3573
Single Precision Score
1410
Half Precision Score
5395
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | February 01 2025 05:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
96% |
5127
957.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
3024
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7789
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5824
6.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
15777
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
58% |
4221
461.2 IPS |
|
|
Face Detection (SP)
|
100% |
5066
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
9606
114.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9799
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12083
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16632
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13042
16.8 IPS |
|
|
Style Transfer (Q)
|
87% |
19325
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2617
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
582
777.2 IPS |
|
|
Text Classification (Q)
|
97% |
1295
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2663
51.5 IPS |
