INFINIX Infinix X6880
Geekbench AI Score
165
Single Precision Score
229
Half Precision Score
221
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 04:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | INFINIX Infinix X6880 |
| Model ID | INFINIX Infinix X6880 |
| Motherboard | Infinix-X6880 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.6 IPS |
|
|
Image Classification (Q)
|
99% |
192
35.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
244
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
118
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
117
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.06 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
148
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.63 IPS |
|
|
Face Detection (Q)
|
97% |
454
5.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
191
1.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.93 IPS |
|
|
Depth Estimation (Q)
|
62% |
203
1.92 IPS |
|
|
Style Transfer (SP)
|
100% |
384
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
534
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
532
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.76 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
155
5.75 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.4 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.6 IPS |
|
|
Text Classification (Q)
|
91% |
255
342.4 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
57% |
180
4.39 IPS |
