ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
7675
Single Precision Score
11911
Half Precision Score
17642
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5525
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
8022
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9370
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4322
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10079
163.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14599
236.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22087
25.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
19365
22.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62174
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
5049
400.5 IPS |
|
|
Object Detection (HP)
|
100% |
8029
636.8 IPS |
|
|
Object Detection (Q)
|
88% |
11513
922.6 IPS |
|
|
Face Detection (SP)
|
100% |
8264
98.2 IPS |
|
|
Face Detection (HP)
|
100% |
16870
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
28161
334.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18676
143.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
32635
252.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
37675
292.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50943
65.5 IPS |
|
|
Style Transfer (HP)
|
100% |
68433
88.0 IPS |
|
|
Style Transfer (Q)
|
98% |
150726
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8762
323.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15042
555.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21702
803.7 IPS |
|
|
Text Classification (SP)
|
71% |
1607
2.32 KIPS |
|
|
Text Classification (HP)
|
71% |
2520
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2705
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3204
55.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3178
54.7 IPS |
