Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
4621
Single Precision Score
1741
Half Precision Score
3205
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | July 01 2025 09:23 PM |
| Views | 5 |
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 | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3676
683.6 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (Q)
|
96% |
5742
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
5815
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11075
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7617
8.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
2084
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
3542
280.9 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
58% |
4073
445.0 IPS |
|
|
Face Detection (SP)
|
100% |
7163
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (Q)
|
96% |
8179
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10814
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2545
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5708
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23094
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19675
25.3 IPS |
|
|
Style Transfer (Q)
|
87% |
5583
7.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2501
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1514
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
634
845.8 IPS |
|
|
Text Classification (Q)
|
97% |
393
527.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2602
50.3 IPS |
