LENOVO 81A8
Geekbench AI Score
761
Single Precision Score
462
Half Precision Score
993
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | October 03 2025 12:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81A8 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (Q)
|
96% |
942
176.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
1415
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
58% |
462
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.01 IPS |
|
|
Face Detection (Q)
|
96% |
1506
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1034
7.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
1559
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2065
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1934
2.49 IPS |
|
|
Style Transfer (Q)
|
87% |
3401
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1079
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
442
589.4 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.3 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.71 IPS |
|
|
Machine Translation (Q)
|
68% |
841
16.2 IPS |
