INFINIX Infinix X6739
Geekbench AI Score
776
Single Precision Score
1150
Half Precision Score
866
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
97% |
421
78.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
7739
9.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
7646
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (HP)
|
99% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
562
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (Q)
|
96% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2425
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4251
32.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3344
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6361
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
14489
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13687
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1223
45.3 IPS |
|
|
Text Classification (SP)
|
35% |
15
135.3 IPS |
|
|
Text Classification (HP)
|
35% |
20
181.2 IPS |
|
|
Text Classification (Q)
|
29% |
11
196.0 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
43% |
80
4.68 IPS |
