iPhone 7
Geekbench ML Score
198
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 14 2024 03:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.5 |
| Model | iPhone 7 |
| Model ID | iPhone9,3 |
| Motherboard | D101AP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 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 | 1.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
129
13.8 IPS |
|
|
Image Classification (F16)
|
100% |
105
11.2 IPS |
|
|
Image Classification (I8)
|
81% |
170
18.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
217
1.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
234
1.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
368
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
71
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
74
0.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
83
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
230
8.08 IPS |
|
|
Object Detection (F16)
|
100% |
220
7.72 IPS |
|
|
Object Detection (I8)
|
52% |
311
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
296
3.40 IPS |
|
|
Face Detection (F16)
|
100% |
259
2.98 IPS |
|
|
Face Detection (I8)
|
75% |
271
3.11 IPS |
|
|
Text Classification (F32)
|
100% |
295
116.7 IPS |
|
|
Text Classification (F16)
|
100% |
294
116.4 IPS |
|
|
Machine Translation (F32)
|
100% |
291
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
296
45.7 IPS |
