INFINIX Infinix X6739
Geekbench AI Score
1003
Single Precision Score
978
Half Precision Score
2062
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6739 |
| Model ID | INFINIX Infinix X6739 |
| Motherboard | Infinix-X6739 |
| Governor | sugov_ext |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
100% |
1578
293.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1820
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2115
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2010
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3544
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
1469
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1367
16.2 IPS |
|
|
Face Detection (Q)
|
95% |
3261
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1626
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1673
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3295
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3763
4.88 IPS |
|
|
Style Transfer (HP)
|
89% |
3455
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
8500
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2067
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
551
734.9 IPS |
|
|
Text Classification (HP)
|
100% |
511
681.6 IPS |
|
|
Text Classification (Q)
|
88% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
700
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
