Lenovo Legion Y90
Geekbench AI Score
370
Single Precision Score
364
Half Precision Score
965
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 15 2025 08:36 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Lenovo Legion Y90 |
| Model ID | Lenovo Lenovo L71061 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 14.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
100% |
669
124.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1788
2.12 IPS |
|
|
Object Detection (SP)
|
98% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
98% |
135
10.8 IPS |
|
|
Object Detection (Q)
|
83% |
753
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
95% |
1401
16.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
732
5.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1525
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1352
1.75 IPS |
|
|
Style Transfer (HP)
|
89% |
1343
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3982
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1058
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.1 IPS |
|
|
Text Classification (HP)
|
99% |
213
284.4 IPS |
|
|
Text Classification (Q)
|
88% |
441
595.2 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
