Micro-Star International Co., Ltd. Venture A16 AI+ A3HMG
Geekbench ML Score
4153
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 07 2025 07:13 AM |
| Views | 3 |
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 | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1579
295.5 IPS |
|
|
Image Classification (F16)
|
100% |
1412
264.3 IPS |
|
|
Image Classification (I8)
|
100% |
1323
247.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2548
42.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2468
41.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1906
31.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22747
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
23873
28.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
18760
22.7 IPS |
|
|
Object Detection (F32)
|
100% |
1269
94.8 IPS |
|
|
Object Detection (F16)
|
100% |
1299
97.0 IPS |
|
|
Object Detection (I8)
|
62% |
1101
82.2 IPS |
|
|
Face Detection (F32)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (F16)
|
100% |
3673
43.7 IPS |
|
|
Face Detection (I8)
|
89% |
2689
32.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10133
78.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9838
76.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
7229
56.1 IPS |
|
|
Style Transfer (F32)
|
100% |
37930
49.9 IPS |
|
|
Style Transfer (F16)
|
100% |
42167
55.5 IPS |
|
|
Style Transfer (I8)
|
98% |
28331
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6978
249.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6729
240.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4448
158.9 IPS |
|
|
Text Classification (F32)
|
100% |
1734
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1763
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1289
1.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
2221
40.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2247
41.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1184
21.8 IPS |
