OUKITEL C59 Pro
Geekbench AI Score
326
Single Precision Score
335
Half Precision Score
625
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | GODSHAWN |
| Upload Date | November 05 2025 12:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OUKITEL C59 Pro |
| Model ID | OUKITEL C59 Pro |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (Q)
|
100% |
443
82.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
568
9.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1314
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.1 IPS |
|
|
Object Detection (Q)
|
83% |
419
33.9 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (Q)
|
95% |
1056
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
346
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
502
3.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1143
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1598
2.07 IPS |
|
|
Style Transfer (HP)
|
89% |
1563
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3037
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
688
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.7 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.0 IPS |
|
|
Text Classification (Q)
|
88% |
206
278.3 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (Q)
|
50% |
128
4.55 IPS |
