LENOVO 21BXCTO1WW
Geekbench AI Score
1008
Single Precision Score
1592
Half Precision Score
3247
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | kochitora |
| Upload Date | January 01 2025 11:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon (TM) 8cx Gen 3 @ 3.0 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21BXCTO1WW |
| Motherboard | LENOVO 21BXCTO1WW |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.0 IPS |
|
|
Image Classification (Q)
|
99% |
2335
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1804
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1951
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
7587
8.90 IPS |
|
|
Object Detection (SP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (HP)
|
99% |
1153
91.7 IPS |
|
|
Object Detection (Q)
|
86% |
2421
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
4067
48.3 IPS |
|
|
Face Detection (Q)
|
97% |
5254
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1369
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2093
16.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
5946
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4871
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
6473
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
15125
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2452
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
420
560.1 IPS |
|
|
Text Classification (Q)
|
97% |
980
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1213
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1483
29.8 IPS |
