Micro-Star International Co., Ltd. Thin A15 B7VE
Geekbench AI Score
3903
Single Precision Score
4745
Half Precision Score
2977
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 19 2025 11:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 660M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin A15 B7VE |
| Motherboard | Micro-Star International Co., Ltd. MS-16RK |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.2 IPS |
|
|
Image Classification (Q)
|
100% |
1314
244.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1760
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15776
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27552
32.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12992
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (Q)
|
87% |
1398
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
3778
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
5115
60.8 IPS |
|
|
Face Detection (Q)
|
97% |
3153
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8698
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10985
84.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6538
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26656
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38520
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21326
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6358
234.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8924
329.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4266
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1280
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (Q)
|
70% |
886
16.6 IPS |
