OBLUE TANK 3
Geekbench AI Score
1252
Single Precision Score
1200
Half Precision Score
2443
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 04:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OBLUE TANK 3 |
| Model ID | OBLUE TANK 3 |
| Motherboard | G91BoardV1 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 17.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (Q)
|
100% |
1865
346.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2189
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3076
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
4565
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
83% |
1552
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (Q)
|
95% |
3870
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2288
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1963
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4000
36.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4368
5.67 IPS |
|
|
Style Transfer (HP)
|
89% |
4551
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
10231
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2454
90.9 IPS |
|
|
Text Classification (SP)
|
100% |
669
893.5 IPS |
|
|
Text Classification (HP)
|
100% |
654
873.3 IPS |
|
|
Text Classification (Q)
|
88% |
1202
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
562
20.0 IPS |
