LENOVO 81JL
Geekbench AI Score
215
Single Precision Score
161
Half Precision Score
411
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | August 22 2024 01:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon (TM) 850 @ 2.96 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81JL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon (TM) 850 @ 2.96 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 803 Revision 70C |
| Base Frequency | 2.74 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.0 IPS |
|
|
Image Classification (Q)
|
99% |
314
58.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
351
5.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
354
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
738
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (HP)
|
100% |
70
5.55 IPS |
|
|
Object Detection (Q)
|
88% |
301
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (Q)
|
97% |
628
7.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
247
1.90 IPS |
|
|
Depth Estimation (Q)
|
76% |
657
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1010
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
984
1.27 IPS |
|
|
Style Transfer (Q)
|
98% |
1951
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.67 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.2 IPS |
|
|
Text Classification (HP)
|
100% |
74
99.0 IPS |
|
|
Text Classification (Q)
|
97% |
104
139.9 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (HP)
|
100% |
92
1.58 IPS |
|
|
Machine Translation (Q)
|
60% |
230
5.12 IPS |
