Micro-Star International Co., Ltd. Venture 15 AI A1MG
Geekbench ML Score
1657
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 25 2025 02:28 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Venture 15 AI A1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-15Q2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
855
160.0 IPS |
|
|
Image Classification (F16)
|
100% |
853
159.6 IPS |
|
|
Image Classification (I8)
|
100% |
700
131.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1231
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1224
20.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1025
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5267
6.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
5295
6.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
4642
5.62 IPS |
|
|
Object Detection (F32)
|
100% |
931
69.5 IPS |
|
|
Object Detection (F16)
|
100% |
920
68.7 IPS |
|
|
Object Detection (I8)
|
54% |
778
58.1 IPS |
|
|
Face Detection (F32)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (I8)
|
89% |
1360
16.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3515
27.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3507
27.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2936
22.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15177
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15589
20.5 IPS |
|
|
Style Transfer (I8)
|
98% |
12253
16.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2893
103.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2830
101.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1551
55.4 IPS |
|
|
Text Classification (F32)
|
90% |
329
472.5 IPS |
|
|
Text Classification (F16)
|
90% |
331
475.1 IPS |
|
|
Text Classification (I8)
|
90% |
239
343.8 IPS |
|
|
Machine Translation (F32)
|
100% |
884
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (I8)
|
70% |
480
8.84 IPS |
