LENOVO 20U9CTO1WW
Geekbench AI Score
907
Single Precision Score
1046
Half Precision Score
734
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | computerguru03 |
| Upload Date | May 31 2025 11:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20U9CTO1WW |
| Motherboard | LENOVO 20U9CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (Q)
|
100% |
396
73.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
470
7.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2250
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
1989
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
98% |
477
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
427
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
763
9.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2080
16.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1415
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5717
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
8639
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4859
6.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.6 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.7 IPS |
|
|
Text Classification (Q)
|
97% |
247
331.5 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
70% |
259
4.85 IPS |
