LENOVO 20U9CTO1WW
Geekbench AI Score
1386
Single Precision Score
634
Half Precision Score
1993
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | computerguru03 |
| Upload Date | May 31 2025 11:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| 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% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2209
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1541
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
3559
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
969
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
58% |
1137
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (Q)
|
96% |
3181
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2641
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
697
5.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
3443
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3865
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2649
3.41 IPS |
|
|
Style Transfer (Q)
|
87% |
5631
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1327
49.2 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
501
668.3 IPS |
|
|
Text Classification (Q)
|
97% |
948
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
68% |
1347
26.0 IPS |
