Micro-Star International Co., Ltd. Thin A15 B7VF
Geekbench ML Score
2726
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 10:32 AM |
| Views | 2 |
System Information
| 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 |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1739
325.3 IPS |
|
|
Image Classification (F16)
|
100% |
1687
315.6 IPS |
|
|
Image Classification (I8)
|
97% |
2737
512.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
934
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
604
10.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1835
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5618
6.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
5608
6.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
11274
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1712
127.8 IPS |
|
|
Object Detection (F16)
|
100% |
1831
136.7 IPS |
|
|
Object Detection (I8)
|
60% |
1590
118.7 IPS |
|
|
Face Detection (F32)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (F16)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (I8)
|
87% |
3125
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5907
45.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6192
48.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
9409
73.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11753
15.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12857
16.9 IPS |
|
|
Style Transfer (I8)
|
85% |
14622
19.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2311
82.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2187
78.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2663
95.1 IPS |
|
|
Text Classification (F32)
|
100% |
1681
2.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1561
2.24 KIPS |
|
|
Text Classification (I8)
|
94% |
375
538.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1691
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1733
31.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1796
33.0 IPS |
