iPhone 6s
Geekbench ML Score
485
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 17 2025 08:36 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71mAP |
| 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 | 1.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
485
52.0 IPS |
|
|
Image Classification (F16)
|
100% |
662
70.9 IPS |
|
|
Image Classification (I8)
|
81% |
137
14.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1167
7.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1905
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
275
1.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
453
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
863
3.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
52
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
683
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
879
30.8 IPS |
|
|
Object Detection (I8)
|
52% |
218
7.65 IPS |
|
|
Face Detection (F32)
|
100% |
1127
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1983
22.8 IPS |
|
|
Face Detection (I8)
|
75% |
220
2.53 IPS |
|
|
Text Classification (F32)
|
100% |
404
159.6 IPS |
|
|
Text Classification (F16)
|
98% |
556
220.1 IPS |
|
|
Machine Translation (F32)
|
100% |
384
59.1 IPS |
|
|
Machine Translation (F16)
|
100% |
362
55.9 IPS |
