ADLINK Technology Inc. cExpress-MTL
Geekbench AI Score
7619
Single Precision Score
11667
Half Precision Score
17167
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:29 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5286
983.1 IPS |
|
|
Image Classification (HP)
|
100% |
7303
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
8696
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4192
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10107
163.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13810
223.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22116
25.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
19440
22.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
64299
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
4942
392.0 IPS |
|
|
Object Detection (HP)
|
100% |
7405
587.4 IPS |
|
|
Object Detection (Q)
|
88% |
10372
831.2 IPS |
|
|
Face Detection (SP)
|
100% |
8782
104.3 IPS |
|
|
Face Detection (HP)
|
100% |
17482
207.7 IPS |
|
|
Face Detection (Q)
|
100% |
28351
336.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18641
143.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
31708
245.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
37002
287.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51238
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
69177
88.9 IPS |
|
|
Style Transfer (Q)
|
98% |
155642
200.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8810
325.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15560
574.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21850
809.2 IPS |
|
|
Text Classification (SP)
|
71% |
1658
2.40 KIPS |
|
|
Text Classification (HP)
|
71% |
2459
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2614
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2998
51.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2978
51.3 IPS |
