UNISOC ums9620_1h10_native
Geekbench AI Score
196
Single Precision Score
267
Half Precision Score
282
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 06:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | UNISOC ums9620_1h10_native |
| Model ID | UNISOC ums9620_1h10_native |
| Motherboard | ums9620_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 | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.55 GHz |
| Memory Information | |
|---|---|
| Size | 5.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
99% |
235
43.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
353
5.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
142
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
168
0.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
167
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
193
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
97% |
666
7.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
267
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
62% |
286
2.71 IPS |
|
|
Style Transfer (SP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
743
0.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
197
7.31 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.7 IPS |
|
|
Text Classification (HP)
|
100% |
101
134.7 IPS |
|
|
Text Classification (Q)
|
91% |
253
340.3 IPS |
|
|
Machine Translation (SP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (Q)
|
57% |
169
4.13 IPS |
