iPhone 7
Geekbench ML Score
426
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 18 2025 12:31 PM |
| Views | 6 |
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% |
280
30.0 IPS |
|
|
Image Classification (F16)
|
100% |
276
29.6 IPS |
|
|
Image Classification (I8)
|
81% |
540
57.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
508
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
521
3.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
936
5.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
149
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
187
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
431
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
437
15.3 IPS |
|
|
Object Detection (I8)
|
52% |
681
23.9 IPS |
|
|
Face Detection (F32)
|
100% |
547
6.29 IPS |
|
|
Face Detection (F16)
|
100% |
534
6.13 IPS |
|
|
Face Detection (I8)
|
75% |
603
6.93 IPS |
|
|
Text Classification (F32)
|
100% |
509
201.3 IPS |
|
|
Text Classification (F16)
|
100% |
526
208.1 IPS |
|
|
Machine Translation (F32)
|
100% |
576
88.8 IPS |
|
|
Machine Translation (F16)
|
100% |
622
95.9 IPS |
