iPhone 7
Geekbench ML Score
316
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 16 2024 09:15 AM |
| Views | 1 |
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% |
276
29.5 IPS |
|
|
Image Classification (F16)
|
100% |
277
29.6 IPS |
|
|
Image Classification (I8)
|
81% |
475
50.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
498
3.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
467
2.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
817
5.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
144
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
292
10.3 IPS |
|
|
Object Detection (F16)
|
100% |
273
9.56 IPS |
|
|
Object Detection (I8)
|
52% |
371
13.0 IPS |
|
|
Face Detection (F32)
|
100% |
323
3.71 IPS |
|
|
Face Detection (F16)
|
100% |
352
4.04 IPS |
|
|
Face Detection (I8)
|
75% |
390
4.48 IPS |
|
|
Text Classification (F32)
|
100% |
346
136.7 IPS |
|
|
Text Classification (F16)
|
100% |
342
135.4 IPS |
|
|
Machine Translation (F32)
|
100% |
349
53.8 IPS |
|
|
Machine Translation (F16)
|
100% |
356
54.9 IPS |
