INFINIX Infinix X6725
Geekbench AI Score
226
Single Precision Score
224
Half Precision Score
292
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 10:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6725 |
| Model ID | INFINIX Infinix X6725 |
| Motherboard | Infinix-X6725 |
| 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 | 6 Cores @ 1.61 GHz |
| Cluster 2 | 2 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 2.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
100% |
199
36.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
376
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.53 IPS |
|
|
Object Detection (Q)
|
83% |
192
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
95% |
551
6.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
429
3.92 IPS |
|
|
Style Transfer (SP)
|
89% |
815
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
815
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
972
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
232
8.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.76 IPS |
|
|
Text Classification (SP)
|
100% |
116
154.8 IPS |
|
|
Text Classification (HP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (Q)
|
88% |
178
240.7 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
50% |
133
4.74 IPS |
