Micro-Star International Co., Ltd. Thin A15 B7VE
Geekbench AI Score
2373
Single Precision Score
1145
Half Precision Score
4016
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 05:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS |
| 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 | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.3 IPS |
|
|
Image Classification (Q)
|
96% |
3304
617.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
3869
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3193
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2906
3.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
7631
9.02 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (Q)
|
58% |
2280
249.2 IPS |
|
|
Face Detection (SP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
6368
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4915
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1831
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7541
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8695
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6912
8.89 IPS |
|
|
Style Transfer (Q)
|
87% |
12718
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3145
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2129
41.1 IPS |
