UNISOC ums9632_1h10_64only
Geekbench AI Score
339
Single Precision Score
352
Half Precision Score
426
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 08:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | UNISOC ums9632_1h10_64only |
| Model ID | UNISOC ums9632_1h10_64only |
| 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% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
423
6.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1281
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
1232
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
99% |
307
24.4 IPS |
|
|
Object Detection (Q)
|
86% |
284
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (HP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
645
7.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
877
6.76 IPS |
|
|
Depth Estimation (HP)
|
98% |
862
6.66 IPS |
|
|
Depth Estimation (Q)
|
65% |
1000
8.93 IPS |
|
|
Style Transfer (SP)
|
100% |
753
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
288
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1414
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
588
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
49
64.7 IPS |
|
|
Text Classification (HP)
|
100% |
95
126.4 IPS |
|
|
Text Classification (Q)
|
93% |
69
92.3 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.31 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.86 IPS |
|
|
Machine Translation (Q)
|
55% |
130
3.45 IPS |
