ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
2972
Single Precision Score
1289
Half Precision Score
4853
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
4914
916.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2542
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4671
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3542
4.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
17952
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
4283
344.2 IPS |
|
|
Face Detection (SP)
|
100% |
5808
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
7027
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6278
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1733
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12858
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10459
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8426
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17425
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3471
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
672
896.4 IPS |
|
|
Text Classification (Q)
|
97% |
574
768.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
65% |
2406
48.3 IPS |
