LENOVO 20RR
Geekbench AI Score
1285
Single Precision Score
639
Half Precision Score
1871
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | abnosy |
| Upload Date | January 28 2026 02:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20RR |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
901
167.5 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
96% |
1350
252.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1535
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1421
1.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
3379
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
902
71.6 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
58% |
1016
111.0 IPS |
|
|
Face Detection (SP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
96% |
2780
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2368
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
893
6.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
3305
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4542
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3403
4.38 IPS |
|
|
Style Transfer (Q)
|
87% |
5524
7.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1617
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
482
642.7 IPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.31 IPS |
|
|
Machine Translation (Q)
|
68% |
1192
23.0 IPS |
