ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
3253
Single Precision Score
3232
Half Precision Score
7301
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (Q)
|
100% |
3965
737.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4852
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4831
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4784
5.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
17285
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.6 IPS |
|
|
Object Detection (HP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (Q)
|
88% |
4077
326.9 IPS |
|
|
Face Detection (SP)
|
100% |
5072
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
5099
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
10053
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5233
40.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12239
95.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14304
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14214
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47022
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7735
286.5 IPS |
|
|
Text Classification (SP)
|
100% |
1667
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1607
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2850
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2491
42.9 IPS |
