LENOVO 81Y8
Geekbench AI Score
2289
Single Precision Score
1067
Half Precision Score
3228
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | punkouter25 |
| Upload Date | May 05 2025 11:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | LENOVO 81Y8 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
2941
549.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
1787
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3505
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
6924
8.19 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.1 IPS |
|
|
Object Detection (Q)
|
58% |
2108
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
5016
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4667
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6204
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8461
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6796
8.74 IPS |
|
|
Style Transfer (Q)
|
87% |
11201
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2189
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.7 IPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1969
38.1 IPS |
