Micro-Star International Co., Ltd. Thin A15 B7VF
Geekbench AI Score
1831
Single Precision Score
830
Half Precision Score
2811
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Msalshmrani |
| Upload Date | April 18 2026 06:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin A15 B7VF |
| Motherboard | Micro-Star International Co., Ltd. MS-16RK |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1860
346.0 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.9 IPS |
|
|
Image Classification (Q)
|
96% |
3928
733.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
3269
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3077
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2720
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
4454
5.27 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.5 IPS |
|
|
Object Detection (Q)
|
58% |
1394
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
5631
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4659
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
4498
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5808
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4690
6.03 IPS |
|
|
Style Transfer (Q)
|
87% |
11072
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
960
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1706
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (Q)
|
97% |
625
837.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1295
25.0 IPS |
