Shenzhen WEIBU Information Co.,Ltd MTL
Geekbench AI Score
1059
Single Precision Score
2479
Half Precision Score
821
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 07:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Shenzhen WEIBU Information Co.,Ltd MTL |
| Motherboard | Shenzhen WEIBU Information Co.,Ltd Default string |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.1 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
4810
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5721
6.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
4237
4.96 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
99% |
1614
128.4 IPS |
|
|
Object Detection (Q)
|
89% |
276
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (HP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (Q)
|
97% |
606
7.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
1879
14.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6121
47.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
1585
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11985
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17649
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9929
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3293
121.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1535
56.8 IPS |
|
|
Text Classification (SP)
|
86% |
322
435.5 IPS |
|
|
Text Classification (HP)
|
99% |
278
370.8 IPS |
|
|
Text Classification (Q)
|
83% |
214
291.7 IPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
323
7.20 IPS |
