iPhone 7
Geekbench ML Score
408
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 18 2024 02:26 AM |
| Views | 3 |
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% |
264
28.3 IPS |
|
|
Image Classification (I8)
|
81% |
522
55.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
465
2.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
3.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
879
5.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
154
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
130
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
179
0.72 IPS |
|
|
Object Detection (F32)
|
100% |
396
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
418
14.7 IPS |
|
|
Object Detection (I8)
|
52% |
629
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
554
6.36 IPS |
|
|
Face Detection (F16)
|
100% |
521
5.98 IPS |
|
|
Face Detection (I8)
|
75% |
557
6.40 IPS |
|
|
Text Classification (F32)
|
100% |
493
194.8 IPS |
|
|
Text Classification (F16)
|
100% |
513
202.9 IPS |
|
|
Machine Translation (F32)
|
100% |
557
85.9 IPS |
|
|
Machine Translation (F16)
|
100% |
595
91.7 IPS |
