Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
3375
Single Precision Score
3463
Half Precision Score
6091
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 05:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (Q)
|
100% |
4080
758.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4095
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4476
5.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
10601
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (Q)
|
87% |
4187
335.8 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
11594
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5847
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5836
45.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
10709
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12847
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13041
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30392
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2590
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2629
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6127
227.0 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
91% |
1247
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3302
56.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3292
56.7 IPS |
