iPhone 7
Geekbench ML Score
259
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | July 25 2024 01:46 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.2 |
| 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% |
263
28.2 IPS |
|
|
Image Classification (F16)
|
100% |
247
26.5 IPS |
|
|
Image Classification (I8)
|
81% |
461
49.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
453
2.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
411
2.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
449
2.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
242
8.50 IPS |
|
|
Object Detection (F16)
|
100% |
247
8.66 IPS |
|
|
Object Detection (I8)
|
52% |
352
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
317
3.64 IPS |
|
|
Face Detection (F16)
|
100% |
315
3.61 IPS |
|
|
Face Detection (I8)
|
75% |
334
3.84 IPS |
|
|
Text Classification (F32)
|
100% |
306
121.1 IPS |
|
|
Text Classification (F16)
|
100% |
306
121.1 IPS |
|
|
Machine Translation (F32)
|
100% |
268
41.4 IPS |
|
|
Machine Translation (F16)
|
100% |
268
41.3 IPS |
