LENOVO 20U30022US
Geekbench AI Score
1264
Single Precision Score
628
Half Precision Score
1873
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | March 26 2025 02:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 20U30022US |
| Motherboard | LENOVO 20U30022US |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1050
195.2 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.4 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1262
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1282
1.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
2393
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
58% |
1206
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
564
6.71 IPS |
|
|
Face Detection (Q)
|
96% |
3085
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2171
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
838
6.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
3653
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5093
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3004
3.86 IPS |
|
|
Style Transfer (Q)
|
87% |
5060
6.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1386
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
530
708.0 IPS |
|
|
Text Classification (Q)
|
97% |
927
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (Q)
|
68% |
1133
21.9 IPS |
