ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
3402
Single Precision Score
3325
Half Precision Score
7818
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 06:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1747
324.9 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.6 IPS |
|
|
Image Classification (Q)
|
100% |
4455
828.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2678
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5152
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4665
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3742
4.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
16745
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (Q)
|
88% |
4537
363.7 IPS |
|
|
Face Detection (SP)
|
100% |
5803
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
5877
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
11199
133.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5375
41.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13154
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13220
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13228
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48467
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2575
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2584
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8413
311.6 IPS |
|
|
Text Classification (SP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1824
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3284
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2554
44.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2483
42.8 IPS |
