UNISOC ums9632_1h10_64only
Geekbench AI Score
138
Single Precision Score
190
Half Precision Score
203
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 07:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
96
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
238
3.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
88
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
103
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.43 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
83% |
133
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (HP)
|
100% |
484
5.76 IPS |
|
|
Face Detection (Q)
|
97% |
448
5.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
167
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
221
1.71 IPS |
|
|
Depth Estimation (Q)
|
62% |
180
1.70 IPS |
|
|
Style Transfer (SP)
|
100% |
336
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
463
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
129
4.77 IPS |
|
|
Text Classification (SP)
|
100% |
96
127.8 IPS |
|
|
Text Classification (HP)
|
100% |
95
126.7 IPS |
|
|
Text Classification (Q)
|
91% |
241
323.6 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (Q)
|
57% |
193
4.71 IPS |
