Micro-Star International Co., Ltd. Thin A15 B7VE
Geekbench AI Score
13674
Single Precision Score
24868
Half Precision Score
10778
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 05:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| 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% |
5320
989.4 IPS |
|
|
Image Classification (HP)
|
99% |
10780
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5059
943.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10192
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15265
247.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9301
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56476
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
190501
222.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47298
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
6933
549.9 IPS |
|
|
Object Detection (HP)
|
100% |
12770
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
6131
494.5 IPS |
|
|
Face Detection (SP)
|
100% |
15785
187.6 IPS |
|
|
Face Detection (HP)
|
100% |
28005
332.8 IPS |
|
|
Face Detection (Q)
|
97% |
13905
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30027
231.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
65393
503.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
25343
202.7 IPS |
|
|
Style Transfer (SP)
|
100% |
99618
128.1 IPS |
|
|
Style Transfer (HP)
|
100% |
273214
351.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88995
114.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23187
856.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36938
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16285
603.0 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1731
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1754
32.9 IPS |
