LENOVO LEGION Y700 2025 LENOVO TB321FU
Geekbench AI Score
510
Single Precision Score
516
Half Precision Score
1175
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | craig04 |
| Upload Date | November 06 2024 08:45 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB321FU |
| Model ID | LENOVO TB321FU |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
810
151.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
541
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
2158
2.53 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
87% |
864
69.3 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.05 IPS |
|
|
Face Detection (Q)
|
97% |
1766
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
673
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
667
5.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1604
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1073
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2650
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1204
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.6 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.6 IPS |
|
|
Text Classification (Q)
|
91% |
716
962.7 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
632
15.4 IPS |
