LENOVO 81XH
Geekbench AI Score
1365
Single Precision Score
660
Half Precision Score
1801
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2026 03:12 AM |
| Views | 8 |
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 81XH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
1126
209.5 IPS |
|
|
Image Classification (HP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (Q)
|
96% |
1799
336.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
1307
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
3632
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
58% |
1071
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
1516
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (Q)
|
96% |
2978
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2471
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
937
7.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
3762
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4778
6.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3506
4.51 IPS |
|
|
Style Transfer (Q)
|
87% |
5455
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
821
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1794
66.5 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.5 IPS |
|
|
Text Classification (Q)
|
97% |
310
415.0 IPS |
|
|
Machine Translation (SP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
68% |
1159
22.4 IPS |
