iPhone 7
Geekbench ML Score
371
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 15 2025 07:07 AM |
| Views | 9 |
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% |
283
30.3 IPS |
|
|
Image Classification (F16)
|
100% |
273
29.3 IPS |
|
|
Image Classification (I8)
|
81% |
513
54.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
473
2.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
460
2.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
854
5.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
147
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
367
12.9 IPS |
|
|
Object Detection (F16)
|
100% |
345
12.1 IPS |
|
|
Object Detection (I8)
|
52% |
528
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
477
5.48 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.46 IPS |
|
|
Face Detection (I8)
|
75% |
543
6.24 IPS |
|
|
Text Classification (F32)
|
100% |
440
174.2 IPS |
|
|
Text Classification (F16)
|
100% |
423
167.4 IPS |
|
|
Machine Translation (F32)
|
100% |
440
67.8 IPS |
|
|
Machine Translation (F16)
|
100% |
400
61.6 IPS |
