ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
2990
Single Precision Score
7087
Half Precision Score
2285
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ADLINK Technology Inc. cExpress-MTL |
| Motherboard | ADLINK Technology Inc. cExpress-MTL |
| Power Plan | High performance |
| 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% |
1025
190.7 IPS |
|
|
Image Classification (HP)
|
100% |
4524
841.4 IPS |
|
|
Image Classification (Q)
|
100% |
885
164.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6065
98.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12185
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16333
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10590
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (HP)
|
99% |
5013
398.8 IPS |
|
|
Object Detection (Q)
|
86% |
934
75.1 IPS |
|
|
Face Detection (SP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
7415
88.1 IPS |
|
|
Face Detection (Q)
|
97% |
1031
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6081
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
18185
140.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
5116
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36633
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55929
71.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27604
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6243
230.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10488
387.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4178
154.7 IPS |
|
|
Text Classification (SP)
|
86% |
959
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
84% |
656
890.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (Q)
|
70% |
966
18.1 IPS |
