Huawei Honor V30 Pro
Geekbench AI Score
1109
Single Precision Score
1097
Half Precision Score
1999
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 01 2025 02:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
528
98.2 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.5 IPS |
|
|
Image Classification (Q)
|
100% |
1400
260.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1517
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2360
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
3658
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
83% |
1397
112.8 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
3208
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2002
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2009
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3310
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3869
5.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3860
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
8334
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1962
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
577
769.6 IPS |
|
|
Text Classification (HP)
|
100% |
594
792.4 IPS |
|
|
Text Classification (Q)
|
88% |
988
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
550
19.5 IPS |
