Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3523
Single Precision Score
1281
Half Precision Score
5497
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 12:14 AM |
| Views | 4 |
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-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3144
584.6 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.5 IPS |
|
|
Image Classification (Q)
|
96% |
5912
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
6486
105.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5070
5.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
12976
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
58% |
3397
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
5651
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
96% |
8016
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7619
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1634
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11381
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15307
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12736
16.4 IPS |
|
|
Style Transfer (Q)
|
87% |
17629
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3274
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
553
737.6 IPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2697
52.1 IPS |
