Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
1396
Single Precision Score
1316
Half Precision Score
1654
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 09:00 PM |
| Views | 2 |
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 | 3.85 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.8 IPS |
|
|
Image Classification (Q)
|
100% |
967
179.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
1139
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1648
1.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
2152
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (Q)
|
87% |
1073
86.0 IPS |
|
|
Face Detection (SP)
|
100% |
1527
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1603
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
3612
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2412
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2495
19.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
2988
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5742
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5932
7.63 IPS |
|
|
Style Transfer (Q)
|
98% |
6920
8.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1363
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
91% |
402
540.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1474
25.4 IPS |
