iPhone 6s Plus
Geekbench ML Score
530
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 26 2024 08:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 6s Plus |
| Model ID | iPhone8,2 |
| Motherboard | N66AP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.85 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
497
53.3 IPS |
|
|
Image Classification (F16)
|
100% |
664
71.2 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1163
7.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
1886
11.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
365
2.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
858
3.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
703
24.7 IPS |
|
|
Object Detection (F16)
|
100% |
904
31.7 IPS |
|
|
Object Detection (I8)
|
52% |
276
9.69 IPS |
|
|
Face Detection (F32)
|
100% |
1121
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1976
22.7 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.10 IPS |
|
|
Text Classification (F32)
|
100% |
414
163.9 IPS |
|
|
Text Classification (F16)
|
98% |
491
194.2 IPS |
|
|
Machine Translation (F32)
|
100% |
461
71.1 IPS |
|
|
Machine Translation (F16)
|
100% |
447
68.8 IPS |
