iPhone 7
Geekbench ML Score
299
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 02 2024 04:46 PM |
| Views | 2 |
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% |
281
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
274
29.4 IPS |
|
|
Image Classification (I8)
|
81% |
510
54.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
474
2.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
486
3.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
888
5.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
127
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
110
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
242
8.50 IPS |
|
|
Object Detection (F16)
|
100% |
243
8.52 IPS |
|
|
Object Detection (I8)
|
52% |
375
13.1 IPS |
|
|
Face Detection (F32)
|
100% |
330
3.79 IPS |
|
|
Face Detection (F16)
|
100% |
331
3.81 IPS |
|
|
Face Detection (I8)
|
75% |
358
4.11 IPS |
|
|
Text Classification (F32)
|
100% |
321
127.1 IPS |
|
|
Text Classification (F16)
|
100% |
322
127.2 IPS |
|
|
Machine Translation (F32)
|
100% |
315
48.6 IPS |
|
|
Machine Translation (F16)
|
100% |
335
51.7 IPS |
