iPhone 6s
Geekbench ML Score
264
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2023 07:53 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.3 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
184
19.7 IPS |
|
|
Image Classification (F16)
|
100% |
192
20.5 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
365
2.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
330
2.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
509
3.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
107
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
98
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
94
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
301
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
297
10.4 IPS |
|
|
Object Detection (I8)
|
52% |
373
13.1 IPS |
|
|
Face Detection (F32)
|
100% |
359
4.13 IPS |
|
|
Face Detection (F16)
|
100% |
339
3.90 IPS |
|
|
Face Detection (I8)
|
75% |
351
4.03 IPS |
|
|
Text Classification (F32)
|
100% |
381
150.7 IPS |
|
|
Text Classification (F16)
|
100% |
385
152.3 IPS |
|
|
Machine Translation (F32)
|
100% |
282
43.5 IPS |
|
|
Machine Translation (F16)
|
100% |
278
42.9 IPS |
