iPhone 7
Geekbench ML Score
425
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 07 2024 12:40 AM |
| Views | 1 |
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% |
288
30.8 IPS |
|
|
Image Classification (F16)
|
100% |
284
30.4 IPS |
|
|
Image Classification (I8)
|
81% |
551
59.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
521
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
529
3.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
974
6.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
155
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
149
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
405
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
438
15.4 IPS |
|
|
Object Detection (I8)
|
52% |
703
24.7 IPS |
|
|
Face Detection (F32)
|
100% |
553
6.36 IPS |
|
|
Face Detection (F16)
|
100% |
557
6.40 IPS |
|
|
Face Detection (I8)
|
75% |
642
7.37 IPS |
|
|
Text Classification (F32)
|
100% |
499
197.4 IPS |
|
|
Text Classification (F16)
|
100% |
495
195.9 IPS |
|
|
Machine Translation (F32)
|
100% |
474
73.0 IPS |
|
|
Machine Translation (F16)
|
100% |
560
86.3 IPS |
