Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
1407
Single Precision Score
1411
Half Precision Score
1609
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | March 23 2025 06:05 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 1600 Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
855
159.1 IPS |
|
|
Image Classification (HP)
|
100% |
868
161.4 IPS |
|
|
Image Classification (Q)
|
100% |
948
176.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
1283
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1893
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1943
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
2186
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
911
72.3 IPS |
|
|
Object Detection (HP)
|
100% |
961
76.2 IPS |
|
|
Object Detection (Q)
|
87% |
1023
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
1850
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
3141
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2266
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2289
17.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
2560
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5199
6.68 IPS |
|
|
Style Transfer (HP)
|
100% |
5197
6.68 IPS |
|
|
Style Transfer (Q)
|
98% |
6053
7.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1274
47.2 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
91% |
482
648.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1435
24.7 IPS |
