iPhone 7
Geekbench ML Score
291
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 06 2026 03:11 PM |
| Views | 1 |
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% |
163
17.4 IPS |
|
|
Image Classification (F16)
|
100% |
161
17.2 IPS |
|
|
Image Classification (I8)
|
81% |
326
34.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
326
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
326
2.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
557
3.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
290
10.2 IPS |
|
|
Object Detection (F16)
|
100% |
288
10.1 IPS |
|
|
Object Detection (I8)
|
52% |
474
16.6 IPS |
|
|
Face Detection (F32)
|
100% |
355
4.08 IPS |
|
|
Face Detection (F16)
|
100% |
344
3.95 IPS |
|
|
Face Detection (I8)
|
75% |
405
4.65 IPS |
|
|
Text Classification (F32)
|
100% |
465
183.7 IPS |
|
|
Text Classification (F16)
|
100% |
463
183.2 IPS |
|
|
Machine Translation (F32)
|
100% |
510
78.6 IPS |
|
|
Machine Translation (F16)
|
100% |
589
90.9 IPS |
