ITEL itel A667LP
Geekbench AI Score
255
Single Precision Score
260
Half Precision Score
468
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 08:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ITEL itel A667LP |
| Model ID | ITEL itel A667LP |
| Motherboard | itel-A667LP |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
100% |
333
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
461
7.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
577
0.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
1037
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
325
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (HP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (Q)
|
95% |
819
9.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
445
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
456
3.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
918
8.41 IPS |
|
|
Style Transfer (SP)
|
89% |
1263
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1267
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
2446
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
189
6.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
556
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.9 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.4 IPS |
|
|
Text Classification (Q)
|
88% |
126
170.6 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (Q)
|
50% |
77
2.74 IPS |
