iPhone 7 Plus
Geekbench ML Score
436
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 30 2025 06:02 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone 7 Plus |
| Model ID | iPhone9,2 |
| Motherboard | D11AP |
| 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 | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
278
29.8 IPS |
|
|
Image Classification (F16)
|
100% |
276
29.6 IPS |
|
|
Image Classification (I8)
|
81% |
538
57.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
513
3.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
3.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
954
5.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
160
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
155
0.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
200
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
435
15.3 IPS |
|
|
Object Detection (F16)
|
100% |
465
16.3 IPS |
|
|
Object Detection (I8)
|
52% |
711
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
561
6.45 IPS |
|
|
Face Detection (F16)
|
100% |
566
6.51 IPS |
|
|
Face Detection (I8)
|
75% |
628
7.21 IPS |
|
|
Text Classification (F32)
|
100% |
507
200.4 IPS |
|
|
Text Classification (F16)
|
100% |
506
200.3 IPS |
|
|
Machine Translation (F32)
|
100% |
614
94.7 IPS |
|
|
Machine Translation (F16)
|
100% |
621
95.8 IPS |
