iPhone 7
Geekbench ML Score
426
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 15 2025 12:52 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% |
283
30.3 IPS |
|
|
Image Classification (F16)
|
100% |
280
30.0 IPS |
|
|
Image Classification (I8)
|
81% |
555
59.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
519
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
528
3.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
869
5.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
160
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
152
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
198
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
435
15.3 IPS |
|
|
Object Detection (F16)
|
100% |
428
15.0 IPS |
|
|
Object Detection (I8)
|
52% |
664
23.3 IPS |
|
|
Face Detection (F32)
|
100% |
557
6.40 IPS |
|
|
Face Detection (F16)
|
100% |
503
5.78 IPS |
|
|
Face Detection (I8)
|
75% |
601
6.90 IPS |
|
|
Text Classification (F32)
|
100% |
485
192.0 IPS |
|
|
Text Classification (F16)
|
100% |
468
185.0 IPS |
|
|
Machine Translation (F32)
|
100% |
626
96.4 IPS |
|
|
Machine Translation (F16)
|
100% |
632
97.5 IPS |
