LENOVO 20U9CTO1WW
Geekbench AI Score
1915
Single Precision Score
1884
Half Precision Score
2947
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | computerguru03 |
| Upload Date | May 31 2025 11:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz |
| 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% |
1243
231.2 IPS |
|
|
Image Classification (HP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (Q)
|
100% |
2118
393.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2277
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2504
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2176
2.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
4175
4.90 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (Q)
|
87% |
1900
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
4898
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2891
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2899
22.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4882
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6415
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
6209
7.98 IPS |
|
|
Style Transfer (Q)
|
98% |
11935
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2499
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (Q)
|
91% |
922
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2023
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1966
33.9 IPS |
