Google sdk_gphone64_arm64
Geekbench AI Score
782
Single Precision Score
789
Half Precision Score
1835
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | November 16 2025 11:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google sdk_gphone64_arm64 |
| Model ID | Google sdk_gphone64_arm64 |
| Motherboard | goldfish_arm64 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 97 architecture 8 variant 0 part 0 revision 0 |
| Base Frequency | 0 MHz |
| Cluster 1 | 8 Cores @ 2.00 KHz |
| Memory Information | |
|---|---|
| Size | 7.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
99% |
1205
224.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1215
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
810
0.94 IPS |
|
|
Pose Estimation (Q)
|
98% |
3243
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
87% |
1293
103.7 IPS |
|
|
Face Detection (SP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
2854
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
1061
8.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
2471
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1857
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1863
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
5588
7.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1830
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.1 IPS |
|
|
Text Classification (HP)
|
100% |
672
897.6 IPS |
|
|
Text Classification (Q)
|
91% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (Q)
|
57% |
860
21.0 IPS |
