iPhone 6s
Geekbench ML Score
163
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 11 2024 12:01 AM |
| Views | 1 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
264
28.3 IPS |
|
|
Image Classification (F16)
|
100% |
257
27.5 IPS |
|
|
Image Classification (I8)
|
81% |
95
10.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
219
1.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
220
1.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
179
1.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
30
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
320
11.2 IPS |
|
|
Object Detection (F16)
|
100% |
320
11.2 IPS |
|
|
Object Detection (I8)
|
52% |
121
4.23 IPS |
|
|
Face Detection (F32)
|
100% |
364
4.18 IPS |
|
|
Face Detection (F16)
|
100% |
339
3.89 IPS |
|
|
Face Detection (I8)
|
75% |
120
1.38 IPS |
|
|
Text Classification (F32)
|
98% |
68
26.8 IPS |
|
|
Text Classification (F16)
|
98% |
68
26.8 IPS |
|
|
Machine Translation (F32)
|
100% |
211
32.5 IPS |
|
|
Machine Translation (F16)
|
100% |
203
31.3 IPS |
