Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
4535
Single Precision Score
1852
Half Precision Score
6703
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mortonp38 |
| Upload Date | July 12 2025 10:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3426
637.1 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.5 IPS |
|
|
Image Classification (Q)
|
96% |
5893
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
7900
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10434
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7562
8.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
19257
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (HP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
58% |
4593
501.9 IPS |
|
|
Face Detection (SP)
|
100% |
7797
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (Q)
|
96% |
9550
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7560
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2574
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14677
117.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22038
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18688
24.0 IPS |
|
|
Style Transfer (Q)
|
87% |
22228
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3613
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.5 IPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
68% |
3324
64.2 IPS |
