Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG
Geekbench ML Score
6491
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 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-13Q3 |
| 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% |
3390
634.4 IPS |
|
|
Image Classification (F16)
|
100% |
3483
651.8 IPS |
|
|
Image Classification (I8)
|
100% |
2433
455.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5658
94.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
6222
103.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4630
77.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
18472
22.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
19947
24.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16954
20.5 IPS |
|
|
Object Detection (F32)
|
100% |
3884
290.0 IPS |
|
|
Object Detection (F16)
|
100% |
4004
299.0 IPS |
|
|
Object Detection (I8)
|
61% |
3423
255.6 IPS |
|
|
Face Detection (F32)
|
100% |
8712
103.6 IPS |
|
|
Face Detection (F16)
|
100% |
8634
102.7 IPS |
|
|
Face Detection (I8)
|
89% |
6188
73.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
20113
156.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
19606
152.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
15663
121.5 IPS |
|
|
Style Transfer (F32)
|
100% |
47912
63.0 IPS |
|
|
Style Transfer (F16)
|
100% |
48833
64.2 IPS |
|
|
Style Transfer (I8)
|
98% |
43132
56.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9255
330.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8797
314.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5420
193.6 IPS |
|
|
Text Classification (F32)
|
100% |
1085
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1162
1.67 KIPS |
|
|
Text Classification (I8)
|
98% |
717
1.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
3025
55.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3077
56.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1400
25.8 IPS |
