Google volteer
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
8
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 06:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google volteer |
| Model ID | Google volteer |
| Motherboard | delbin |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.23 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.13 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.86 KIPS |
|
|
Image Segmentation (SP)
|
73% |
13612
235.2 IPS |
|
|
Image Segmentation (HP)
|
73% |
14823
256.2 IPS |
|
|
Image Segmentation (Q)
|
73% |
33467
578.4 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
593.8 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
646.3 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
2.06 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.18 KIPS |
|
|
Object Detection (HP)
|
0% |
0
900.8 IPS |
|
|
Object Detection (Q)
|
0% |
0
683.0 IPS |
|
|
Face Detection (SP)
|
0% |
0
341.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
295.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
454.2 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
594.8 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
428.2 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
413.4 IPS |
|
|
Style Transfer (SP)
|
32% |
145313
1.82 KIPS |
|
|
Style Transfer (HP)
|
32% |
146288
1.83 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.36 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
181
2.14 KIPS |
|
|
Text Classification (SP)
|
29% |
391
6.75 KIPS |
|
|
Text Classification (HP)
|
29% |
385
6.66 KIPS |
|
|
Text Classification (Q)
|
29% |
198
3.42 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
7.38 IPS |
|
|
Machine Translation (HP)
|
0% |
0
7.01 IPS |
|
|
Machine Translation (Q)
|
0% |
0
4.49 IPS |
