Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench ML Score
6189
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2025 04:17 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG |
| Motherboard | Micro-Star International Co., Ltd. MS-13P5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3403
636.8 IPS |
|
|
Image Classification (F16)
|
100% |
3073
575.0 IPS |
|
|
Image Classification (I8)
|
100% |
2703
505.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6188
103.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6191
103.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4659
77.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
20171
24.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
19791
24.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16500
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
3089
230.6 IPS |
|
|
Object Detection (F16)
|
100% |
3101
231.5 IPS |
|
|
Object Detection (I8)
|
61% |
2664
198.9 IPS |
|
|
Face Detection (F32)
|
100% |
8654
102.9 IPS |
|
|
Face Detection (F16)
|
100% |
8710
103.6 IPS |
|
|
Face Detection (I8)
|
89% |
6153
73.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
18945
146.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
18315
142.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
14509
112.5 IPS |
|
|
Style Transfer (F32)
|
100% |
49986
65.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47630
62.7 IPS |
|
|
Style Transfer (I8)
|
98% |
43405
57.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8725
311.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9517
339.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5476
195.6 IPS |
|
|
Text Classification (F32)
|
100% |
959
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
913
1.31 KIPS |
|
|
Text Classification (I8)
|
98% |
617
887.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2967
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2899
53.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1297
23.9 IPS |
