LENOVO 81Y4
Geekbench AI Score
1961
Single Precision Score
1004
Half Precision Score
2181
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 10:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81Y4 |
| 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% |
1144
212.8 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
96% |
1660
310.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
1532
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3903
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2487
2.90 IPS |
|
|
Pose Estimation (Q)
|
87% |
6632
7.83 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
1198
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
2448
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3345
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1503
11.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3673
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8541
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6761
8.69 IPS |
|
|
Style Transfer (Q)
|
87% |
11095
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2287
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
559
746.0 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
60% |
1350
30.1 IPS |
