Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
1748
Single Precision Score
1732
Half Precision Score
1822
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 04:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | MSI B450M BAZOOKA (MS-7A38) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
1085
201.7 IPS |
|
|
Image Classification (Q)
|
100% |
1140
212.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2431
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
2508
2.94 IPS |
|
|
Object Detection (SP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (HP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (Q)
|
87% |
1180
94.6 IPS |
|
|
Face Detection (SP)
|
100% |
1938
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1956
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
3756
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3009
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2973
22.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3101
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6788
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
6758
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
7219
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1535
56.9 IPS |
|
|
Text Classification (SP)
|
100% |
1192
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (Q)
|
91% |
391
525.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1604
27.6 IPS |
