ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
8392
Single Precision Score
13090
Half Precision Score
19554
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 06:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5750
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8276
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
9434
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4679
75.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11329
183.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15929
258.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24058
28.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
22746
26.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
75545
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
5404
428.6 IPS |
|
|
Object Detection (HP)
|
100% |
8894
705.5 IPS |
|
|
Object Detection (Q)
|
88% |
12358
990.3 IPS |
|
|
Face Detection (SP)
|
100% |
9474
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
19241
228.6 IPS |
|
|
Face Detection (Q)
|
100% |
31463
373.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19647
151.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
35338
273.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
40512
314.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59028
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
74518
95.8 IPS |
|
|
Style Transfer (Q)
|
98% |
176323
227.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9329
344.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15935
588.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24542
908.9 IPS |
|
|
Text Classification (SP)
|
71% |
1637
2.37 KIPS |
|
|
Text Classification (HP)
|
71% |
2641
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2842
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3653
63.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3718
64.0 IPS |
