SHIFT SHIFTphone 8
Geekbench AI Score
777
Single Precision Score
768
Half Precision Score
1619
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | uwejugel |
| Upload Date | June 03 2025 07:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | SHIFT SHIFTphone 8 |
| Model ID | SHIFT SHIFTphone 8 |
| Motherboard | otter |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 10.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
100% |
1344
249.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1537
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1612
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
2607
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (Q)
|
83% |
1103
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2749
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1316
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2498
22.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2746
3.56 IPS |
|
|
Style Transfer (HP)
|
89% |
2751
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
6377
8.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1581
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.2 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.2 IPS |
|
|
Text Classification (Q)
|
88% |
845
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
