LENOVO XT2571-1
Geekbench AI Score
1728
Single Precision Score
1700
Half Precision Score
2963
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO XT2571-1 |
| Model ID | LENOVO XT2571-1 |
| Motherboard | P98300DA1 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
1430
266.0 IPS |
|
|
Image Classification (Q)
|
100% |
2491
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2398
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
5959
7.07 IPS |
|
|
Object Detection (SP)
|
98% |
1178
93.8 IPS |
|
|
Object Detection (HP)
|
98% |
1194
95.0 IPS |
|
|
Object Detection (Q)
|
83% |
2052
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (Q)
|
95% |
4870
58.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2337
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2183
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4752
43.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6010
7.80 IPS |
|
|
Style Transfer (HP)
|
89% |
6053
7.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12479
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3288
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
727
969.9 IPS |
|
|
Text Classification (HP)
|
99% |
723
965.2 IPS |
|
|
Text Classification (Q)
|
88% |
1260
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
597
21.2 IPS |
