iPhone 7
Geekbench ML Score
258
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2024 05:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 7 |
| Model ID | iPhone9,1 |
| Motherboard | D10AP |
| 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% |
205
21.9 IPS |
|
|
Image Classification (F16)
|
100% |
188
20.2 IPS |
|
|
Image Classification (I8)
|
81% |
266
28.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
275
1.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
303
1.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
591
3.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
242
8.50 IPS |
|
|
Object Detection (F16)
|
100% |
251
8.82 IPS |
|
|
Object Detection (I8)
|
52% |
372
13.1 IPS |
|
|
Face Detection (F32)
|
100% |
330
3.80 IPS |
|
|
Face Detection (F16)
|
100% |
329
3.78 IPS |
|
|
Face Detection (I8)
|
75% |
358
4.12 IPS |
|
|
Text Classification (F32)
|
100% |
321
127.0 IPS |
|
|
Text Classification (F16)
|
100% |
323
127.6 IPS |
|
|
Machine Translation (F32)
|
100% |
320
49.4 IPS |
|
|
Machine Translation (F16)
|
100% |
335
51.6 IPS |
