LENOVO LEGION Y700 2025 LENOVO TB321FU
Geekbench AI Score
1183
Single Precision Score
1765
Half Precision Score
1667
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | craig04 |
| Upload Date | November 06 2024 08:34 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
881
163.8 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1740
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2558
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.1 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
87% |
1043
83.8 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (Q)
|
97% |
2332
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1816
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3833
29.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3167
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6755
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
10810
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10628
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1581
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
481
641.5 IPS |
|
|
Text Classification (HP)
|
100% |
479
638.8 IPS |
|
|
Text Classification (Q)
|
91% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
594
14.5 IPS |
