LENOVO LEGION Y700 2025 LENOVO TB321FU
Geekbench AI Score
2761
Single Precision Score
2726
Half Precision Score
4387
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | craig04 |
| Upload Date | November 06 2024 08:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
2203
409.6 IPS |
|
|
Image Classification (Q)
|
100% |
3737
695.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2617
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2674
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4334
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4369
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4323
5.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
10302
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1763
140.3 IPS |
|
|
Object Detection (HP)
|
98% |
1393
110.8 IPS |
|
|
Object Detection (Q)
|
83% |
1284
103.7 IPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
7784
92.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4549
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4297
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7795
71.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10640
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10685
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21875
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2403
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5717
211.8 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
99% |
1107
1.48 KIPS |
|
|
Text Classification (Q)
|
88% |
1701
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
956
33.9 IPS |
