Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench ML Score
6171
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2025 04:15 PM |
| Views | 5 |
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% |
3206
600.0 IPS |
|
|
Image Classification (F16)
|
100% |
3103
580.7 IPS |
|
|
Image Classification (I8)
|
100% |
2620
490.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6220
103.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6164
102.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4751
79.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
20155
24.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
20307
24.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
17345
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
3078
229.8 IPS |
|
|
Object Detection (F16)
|
100% |
3119
232.8 IPS |
|
|
Object Detection (I8)
|
61% |
2691
200.9 IPS |
|
|
Face Detection (F32)
|
100% |
8661
103.0 IPS |
|
|
Face Detection (F16)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (I8)
|
89% |
6166
73.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19640
152.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19860
154.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
15068
116.9 IPS |
|
|
Style Transfer (F32)
|
100% |
51886
68.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47552
62.6 IPS |
|
|
Style Transfer (I8)
|
98% |
39321
51.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7476
267.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8222
293.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5275
188.4 IPS |
|
|
Text Classification (F32)
|
100% |
1068
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1009
1.45 KIPS |
|
|
Text Classification (I8)
|
98% |
604
868.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2864
52.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2892
53.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1303
24.0 IPS |
