Micro-Star International Co., Ltd. Venture A16 AI+ A3HMG
Geekbench ML Score
2703
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 07 2025 07:10 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Venture A16 AI+ A3HMG |
| Motherboard | Micro-Star International Co., Ltd. MS-261K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB 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% |
1152
215.6 IPS |
|
|
Image Classification (F16)
|
100% |
1063
199.0 IPS |
|
|
Image Classification (I8)
|
99% |
3252
608.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
893
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1057
17.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2234
37.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3702
4.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
3270
3.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
18365
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
1797
134.1 IPS |
|
|
Object Detection (F16)
|
100% |
1509
112.6 IPS |
|
|
Object Detection (I8)
|
62% |
1678
125.3 IPS |
|
|
Face Detection (F32)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (F16)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (I8)
|
89% |
3663
43.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4447
34.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4453
34.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13781
106.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9292
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10587
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
18113
23.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2089
74.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1972
70.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3183
113.7 IPS |
|
|
Text Classification (F32)
|
100% |
1562
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1767
2.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1398
2.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1406
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2139
39.4 IPS |
