INFINIX Infinix X6871
Geekbench AI Score
450
Single Precision Score
541
Half Precision Score
566
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 06:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | INFINIX Infinix X6871 |
| Model ID | INFINIX Infinix X6871 |
| Motherboard | Infinix-X6871 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (Q)
|
99% |
357
66.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
614
9.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
614
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (Q)
|
83% |
370
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
947
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
705
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
844
6.50 IPS |
|
|
Depth Estimation (Q)
|
62% |
683
6.46 IPS |
|
|
Style Transfer (SP)
|
100% |
1844
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2397
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2424
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.5 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.8 IPS |
|
|
Text Classification (Q)
|
91% |
350
470.3 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.83 IPS |
