iPhone 7
Geekbench ML Score
438
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | brianl831 |
| Upload Date | January 31 2026 08:46 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.6 |
| 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% |
285
30.5 IPS |
|
|
Image Classification (F16)
|
100% |
280
30.0 IPS |
|
|
Image Classification (I8)
|
81% |
506
54.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
507
3.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
945
5.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
164
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
146
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
189
0.77 IPS |
|
|
Object Detection (F32)
|
100% |
432
15.2 IPS |
|
|
Object Detection (F16)
|
100% |
465
16.3 IPS |
|
|
Object Detection (I8)
|
52% |
699
24.5 IPS |
|
|
Face Detection (F32)
|
100% |
548
6.29 IPS |
|
|
Face Detection (F16)
|
100% |
562
6.46 IPS |
|
|
Face Detection (I8)
|
75% |
656
7.54 IPS |
|
|
Text Classification (F32)
|
100% |
582
230.0 IPS |
|
|
Text Classification (F16)
|
100% |
526
207.9 IPS |
|
|
Machine Translation (F32)
|
100% |
653
100.7 IPS |
|
|
Machine Translation (F16)
|
100% |
631
97.3 IPS |
