OUKITEL C 38
Geekbench AI Score
176
Single Precision Score
167
Half Precision Score
177
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 07:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8788 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OUKITEL C 38 |
| Model ID | OUKITEL C 38 |
| Motherboard | tb8788p1_64_bsp_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT8788 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 8 Cores @ 1.99 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
100% |
133
24.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
227
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
297
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.72 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.75 IPS |
|
|
Object Detection (Q)
|
83% |
144
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
95% |
356
4.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
308
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
277
2.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
248
2.27 IPS |
|
|
Style Transfer (SP)
|
89% |
722
0.94 IPS |
|
|
Style Transfer (HP)
|
89% |
753
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
734
0.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.65 IPS |
|
|
Text Classification (SP)
|
100% |
57
75.5 IPS |
|
|
Text Classification (HP)
|
100% |
46
61.6 IPS |
|
|
Text Classification (Q)
|
88% |
66
89.6 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (HP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (Q)
|
50% |
37
1.33 IPS |
