UNISOC ums9632_1h10_native
Geekbench AI Score
510
Single Precision Score
516
Half Precision Score
1032
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 08:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | UNISOC ums9632_1h10_native |
| Model ID | UNISOC ums9632_1h10_native |
| Motherboard | ums9632_1h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.04 GHz |
| Cluster 1 | 6 Cores @ 2.04 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
229
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
100% |
687
127.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1110
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1666
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
680
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
772
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (Q)
|
95% |
1696
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
731
5.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
858
6.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
1605
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1933
2.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1926
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3971
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.0 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.2 IPS |
|
|
Text Classification (Q)
|
88% |
573
772.9 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
