LENOVO 21MA004YCK
Geekbench AI Score
1985
Single Precision Score
726
Half Precision Score
3772
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 10:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MA004YCK |
| Motherboard | LENOVO 21MA004YCK |
| Power Plan | Rovnovha |
| 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 | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (Q)
|
99% |
4542
847.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1907
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3020
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1666
1.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
7981
9.36 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
3557
285.9 IPS |
|
|
Face Detection (SP)
|
100% |
5256
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
4852
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3987
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1239
9.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
10582
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8010
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5653
7.27 IPS |
|
|
Style Transfer (Q)
|
98% |
13385
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1945
72.0 IPS |
|
|
Text Classification (SP)
|
100% |
537
716.9 IPS |
|
|
Text Classification (HP)
|
100% |
266
354.6 IPS |
|
|
Text Classification (Q)
|
97% |
765
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
65% |
2319
46.6 IPS |
