LENOVO 21BX001LGE
Geekbench AI Score
1011
Single Precision Score
970
Half Precision Score
2499
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 09:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon (TM) 8cx Gen 3 @ 3.0 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21BX001LGE |
| Motherboard | LENOVO 21BX001LGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Snapdragon (TM) 8cx Gen 3 @ 3.0 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model D4B Revision 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
99% |
1663
310.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1550
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
7845
9.19 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
476
37.8 IPS |
|
|
Object Detection (Q)
|
88% |
1594
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (Q)
|
97% |
3271
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1382
10.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1545
11.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
5274
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4920
6.32 IPS |
|
|
Style Transfer (HP)
|
100% |
6086
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
15183
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2529
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
303
404.3 IPS |
|
|
Text Classification (Q)
|
97% |
371
496.2 IPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
99% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1201
26.8 IPS |
