POINTMOBILE PM68
Geekbench AI Score
362
Single Precision Score
356
Half Precision Score
687
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 03:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | POINTMOBILE PM68 |
| Model ID | POINTMOBILE PM68 |
| Motherboard | tb8786p1_64_k66 |
| Governor | sugov_ext |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
100% |
531
98.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
663
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
853
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
833
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
1430
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (Q)
|
83% |
488
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
467
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
464
5.52 IPS |
|
|
Face Detection (Q)
|
95% |
1142
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
592
4.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
581
4.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1224
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1507
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1507
1.96 IPS |
|
|
Style Transfer (Q)
|
98% |
3164
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
698
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
183
243.8 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.8 IPS |
|
|
Text Classification (Q)
|
88% |
241
325.1 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
129
4.58 IPS |
