Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
911
Single Precision Score
918
Half Precision Score
944
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | andreadandrea |
| Upload Date | February 23 2025 04:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 Six-Core Processor |
| 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 PLUS (MS-7A38) |
| Power Plan | AMD Ryzen Balanced |
| 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% |
542
100.8 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
100% |
535
99.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1278
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
1356
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
87% |
550
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
1734
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1477
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
1476
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3779
4.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3775
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
3964
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
695
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
645
860.9 IPS |
|
|
Text Classification (HP)
|
100% |
748
997.9 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.5 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
100% |
871
15.0 IPS |
