Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
4519
Single Precision Score
4855
Half Precision Score
3437
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | March 23 2025 05:55 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) R9 380 Series |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
1630
303.0 IPS |
|
|
Image Classification (Q)
|
100% |
1253
233.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2022
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33638
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34572
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28000
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (Q)
|
85% |
1475
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (Q)
|
97% |
3387
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8827
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9540
73.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7233
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51892
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56547
72.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41153
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7779
287.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8740
322.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5270
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
557
746.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1607
27.8 IPS |
|
|
Machine Translation (Q)
|
70% |
745
14.0 IPS |
