iPhone 7
Geekbench ML Score
288
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 04 2024 06:23 AM |
| Views | 5 |
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% |
276
29.6 IPS |
|
|
Image Classification (F16)
|
100% |
285
30.6 IPS |
|
|
Image Classification (I8)
|
81% |
503
53.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
466
2.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
460
2.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
653
4.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
89
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
249
8.74 IPS |
|
|
Object Detection (F16)
|
100% |
242
8.49 IPS |
|
|
Object Detection (I8)
|
52% |
372
13.0 IPS |
|
|
Face Detection (F32)
|
100% |
350
4.02 IPS |
|
|
Face Detection (F16)
|
100% |
380
4.36 IPS |
|
|
Face Detection (I8)
|
75% |
410
4.71 IPS |
|
|
Text Classification (F32)
|
100% |
318
125.9 IPS |
|
|
Text Classification (F16)
|
100% |
319
126.3 IPS |
|
|
Machine Translation (F32)
|
100% |
319
49.2 IPS |
|
|
Machine Translation (F16)
|
100% |
326
50.3 IPS |
