HTC HTC U23 pro
Geekbench AI Score
209
Single Precision Score
209
Half Precision Score
511
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | mingchang137 |
| Upload Date | October 10 2024 02:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HTC HTC U23 pro |
| Model ID | HTC HTC U23 pro |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
376
6.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
844
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.88 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (Q)
|
87% |
365
29.2 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
737
8.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
274
2.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
686
6.23 IPS |
|
|
Style Transfer (SP)
|
100% |
450
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1302
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
502
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.7 IPS |
|
|
Text Classification (HP)
|
100% |
178
238.1 IPS |
|
|
Text Classification (Q)
|
91% |
342
459.5 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.77 IPS |
