Huawei Honor V30 Pro
Geekbench AI Score
228
Single Precision Score
226
Half Precision Score
529
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 01 2025 03:33 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
140
26.1 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
341
63.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
359
5.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
948
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (Q)
|
87% |
385
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
724
8.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
281
2.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
281
2.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
713
6.47 IPS |
|
|
Style Transfer (SP)
|
100% |
456
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1451
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
548
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
202
270.2 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.4 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.0 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.80 IPS |
