Danew Origin_680
Geekbench AI Score
279
Single Precision Score
476
Half Precision Score
403
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 04:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Danew Origin_680 |
| Model ID | Danew Origin_680 |
| Motherboard | ums9621_1h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 1.83 GHz |
| Cluster 1 | 6 Cores @ 1.83 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 5.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
1856
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (HP)
|
99% |
269
21.4 IPS |
|
|
Object Detection (Q)
|
83% |
261
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
1034
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.32 IPS |
|
|
Depth Estimation (HP)
|
98% |
1293
9.99 IPS |
|
|
Depth Estimation (Q)
|
62% |
1015
9.64 IPS |
|
|
Style Transfer (SP)
|
100% |
1654
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3495
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3441
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
697
25.8 IPS |
|
|
Text Classification (SP)
|
35% |
9
83.7 IPS |
|
|
Text Classification (HP)
|
29% |
8
130.0 IPS |
|
|
Text Classification (Q)
|
33% |
11
128.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
43% |
79
4.58 IPS |
