iPhone 6s
Geekbench ML Score
243
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | fjag2000 |
| Upload Date | October 17 2024 06:35 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
153
16.4 IPS |
|
|
Image Classification (F16)
|
100% |
149
15.9 IPS |
|
|
Image Classification (I8)
|
81% |
252
27.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
295
1.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
280
1.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
449
2.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
86
0.35 IPS |
|
|
Object Detection (F32)
|
100% |
251
8.81 IPS |
|
|
Object Detection (F16)
|
100% |
260
9.12 IPS |
|
|
Object Detection (I8)
|
52% |
360
12.6 IPS |
|
|
Face Detection (F32)
|
100% |
345
3.97 IPS |
|
|
Face Detection (F16)
|
100% |
328
3.77 IPS |
|
|
Face Detection (I8)
|
75% |
344
3.95 IPS |
|
|
Text Classification (F32)
|
100% |
368
145.6 IPS |
|
|
Text Classification (F16)
|
100% |
366
144.6 IPS |
|
|
Machine Translation (F32)
|
100% |
346
53.4 IPS |
|
|
Machine Translation (F16)
|
100% |
350
54.0 IPS |
