Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
2277
Single Precision Score
1054
Half Precision Score
2655
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | SubLexx |
| Upload Date | November 27 2025 11:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1847
343.5 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
96% |
2157
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
2581
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3741
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
4364
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (Q)
|
58% |
1506
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
4615
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4854
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
4741
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8897
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7062
9.08 IPS |
|
|
Style Transfer (Q)
|
87% |
8780
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1678
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
503
671.0 IPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1869
36.1 IPS |
