ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
3402
Single Precision Score
1270
Half Precision Score
5341
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 06:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ADLINK Technology Inc. cExpress-MTL |
| Motherboard | ADLINK Technology Inc. cExpress-MTL |
| Power Plan | High performance |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
99% |
5010
934.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2722
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5609
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3058
3.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
21480
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
4951
397.9 IPS |
|
|
Face Detection (SP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
8070
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7654
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1772
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12513
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13159
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8726
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20945
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4143
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
625
833.6 IPS |
|
|
Text Classification (Q)
|
97% |
545
730.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2730
54.8 IPS |
