iPhone 6s
Geekbench ML Score
271
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | October 21 2024 11:19 AM |
| Views | 6 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
201
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
175
18.7 IPS |
|
|
Image Classification (I8)
|
81% |
307
32.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
343
2.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
338
2.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
541
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
105
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
94
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
265
9.29 IPS |
|
|
Object Detection (F16)
|
100% |
281
9.87 IPS |
|
|
Object Detection (I8)
|
52% |
386
13.5 IPS |
|
|
Face Detection (F32)
|
100% |
375
4.31 IPS |
|
|
Face Detection (F16)
|
100% |
348
3.99 IPS |
|
|
Face Detection (I8)
|
75% |
367
4.21 IPS |
|
|
Text Classification (F32)
|
100% |
372
147.2 IPS |
|
|
Text Classification (F16)
|
100% |
372
147.1 IPS |
|
|
Machine Translation (F32)
|
100% |
377
58.1 IPS |
|
|
Machine Translation (F16)
|
100% |
393
60.6 IPS |
