Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
2551
Single Precision Score
1220
Half Precision Score
4101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boborjan_ |
| Upload Date | April 28 2025 07:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.1 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
96% |
3775
704.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2417
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3785
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3146
3.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
8547
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
58% |
2827
308.8 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
1115
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
6635
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4253
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1683
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7654
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8758
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7348
9.45 IPS |
|
|
Style Transfer (Q)
|
87% |
11823
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2476
91.7 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
689
920.2 IPS |
|
|
Text Classification (Q)
|
97% |
1277
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3221
62.2 IPS |
