iPhone 6s
Geekbench ML Score
475
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 30 2025 12:36 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71AP |
| 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% |
474
50.8 IPS |
|
|
Image Classification (F16)
|
100% |
664
71.2 IPS |
|
|
Image Classification (I8)
|
81% |
139
14.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1171
7.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
1908
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
269
1.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
454
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
859
3.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
52
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
682
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
910
31.9 IPS |
|
|
Object Detection (I8)
|
52% |
215
7.55 IPS |
|
|
Face Detection (F32)
|
100% |
1125
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1974
22.7 IPS |
|
|
Face Detection (I8)
|
75% |
202
2.32 IPS |
|
|
Text Classification (F32)
|
100% |
403
159.5 IPS |
|
|
Text Classification (F16)
|
98% |
501
198.1 IPS |
|
|
Machine Translation (F32)
|
100% |
333
51.4 IPS |
|
|
Machine Translation (F16)
|
100% |
348
53.7 IPS |
