Huawei Honor V30 Pro
Geekbench AI Score
327
Single Precision Score
445
Half Precision Score
428
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 01 2025 03:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | HiSilicon Kirin 990 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Huawei Honor V30 Pro |
| Model ID | HUAWEI OXF-AN10 |
| Motherboard | OXF |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 3 part 3392 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.86 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
99% |
484
90.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
577
9.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
145
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
200
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
83% |
325
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1239
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
360
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
62% |
347
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1001
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
993
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
282
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.7 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.8 IPS |
|
|
Text Classification (Q)
|
91% |
343
460.9 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.88 IPS |
