Micro-Star International Co., Ltd. MS-7A32
Geekbench AI Score
2574
Single Precision Score
1161
Half Precision Score
3861
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 12:30 PM |
| Views | 4 |
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-7A32 |
| Motherboard | Micro-Star International Co., Ltd X370 GAMING PRO CARBON (MS-7A32) |
| Power Plan | Balanced |
| 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 | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
96% |
3868
722.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2411
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3369
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
8758
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1994
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.8 IPS |
|
|
Object Detection (Q)
|
58% |
2971
324.6 IPS |
|
|
Face Detection (SP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
6261
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1535
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6628
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7631
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6348
8.16 IPS |
|
|
Style Transfer (Q)
|
87% |
10543
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2300
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
562
749.8 IPS |
|
|
Text Classification (Q)
|
97% |
1221
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2475
47.8 IPS |
