LENOVO 81UJ
Geekbench AI Score
1433
Single Precision Score
668
Half Precision Score
2117
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81UJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1091
203.0 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1168
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
4576
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
58% |
1255
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (Q)
|
96% |
3303
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2892
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
4373
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5821
7.48 IPS |
|
|
Style Transfer (HP)
|
100% |
4501
5.79 IPS |
|
|
Style Transfer (Q)
|
87% |
7163
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1369
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
392
523.4 IPS |
|
|
Text Classification (Q)
|
97% |
679
910.2 IPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
68% |
1220
23.6 IPS |
