iPhone 7
Geekbench ML Score
154
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 27 2025 03:21 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
85
9.14 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.67 IPS |
|
|
Image Classification (I8)
|
81% |
166
17.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
179
1.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
157
0.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
327
2.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
156
5.49 IPS |
|
|
Object Detection (F16)
|
100% |
161
5.65 IPS |
|
|
Object Detection (I8)
|
52% |
261
9.15 IPS |
|
|
Face Detection (F32)
|
100% |
236
2.72 IPS |
|
|
Face Detection (F16)
|
100% |
211
2.43 IPS |
|
|
Face Detection (I8)
|
75% |
205
2.36 IPS |
|
|
Text Classification (F32)
|
100% |
228
90.1 IPS |
|
|
Text Classification (F16)
|
100% |
220
86.8 IPS |
|
|
Machine Translation (F32)
|
100% |
228
35.1 IPS |
|
|
Machine Translation (F16)
|
100% |
228
35.2 IPS |
