LENOVO 20U9CTO1WW
Geekbench AI Score
1490
Single Precision Score
2135
Half Precision Score
2079
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | computerguru03 |
| Upload Date | May 31 2025 11:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
981
182.4 IPS |
|
|
Image Classification (HP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (Q)
|
100% |
1365
253.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2039
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1889
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
2144
2.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
3191
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
99% |
1538
122.4 IPS |
|
|
Object Detection (Q)
|
88% |
1442
115.6 IPS |
|
|
Face Detection (SP)
|
100% |
2503
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
3458
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2917
22.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4335
33.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4497
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6911
8.88 IPS |
|
|
Style Transfer (HP)
|
100% |
8401
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8204
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1960
72.6 IPS |
|
|
Text Classification (SP)
|
71% |
559
808.5 IPS |
|
|
Text Classification (HP)
|
71% |
704
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
525
705.0 IPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
97% |
975
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
