Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2824
Single Precision Score
1217
Half Precision Score
4589
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 02:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2648
492.4 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
96% |
4988
931.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
6019
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4482
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3586
4.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
10505
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
58% |
2348
256.6 IPS |
|
|
Face Detection (SP)
|
100% |
4521
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
6447
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4911
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1502
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7635
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9560
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7504
9.65 IPS |
|
|
Style Transfer (Q)
|
87% |
12702
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3078
114.1 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
690
920.5 IPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2602
50.3 IPS |
