Blackview XPLORE 1
Geekbench AI Score
575
Single Precision Score
573
Half Precision Score
1129
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Blackview XPLORE 1 |
| Model ID | Blackview XPLORE 1 |
| Motherboard | f252_dk_dk100_8791_v0_eea |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.7 IPS |
|
|
Image Classification (Q)
|
100% |
774
144.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
835
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1090
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1862
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
83% |
722
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
746
8.87 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
95% |
1746
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1155
8.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1718
15.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2135
2.77 IPS |
|
|
Style Transfer (HP)
|
89% |
2131
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
4393
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1032
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.6 IPS |
|
|
Text Classification (HP)
|
100% |
326
434.8 IPS |
|
|
Text Classification (Q)
|
88% |
685
924.1 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
50% |
417
14.8 IPS |
