iPhone 7
Geekbench ML Score
405
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 20 2024 12:19 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 7 |
| Model ID | iPhone9,3 |
| Motherboard | D101AP |
| 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% |
281
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
268
28.8 IPS |
|
|
Image Classification (I8)
|
81% |
533
57.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
505
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
493
3.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
911
5.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
137
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
407
14.3 IPS |
|
|
Object Detection (F16)
|
100% |
399
14.0 IPS |
|
|
Object Detection (I8)
|
52% |
629
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
517
5.94 IPS |
|
|
Face Detection (F16)
|
100% |
480
5.52 IPS |
|
|
Face Detection (I8)
|
75% |
573
6.58 IPS |
|
|
Text Classification (F32)
|
100% |
464
183.4 IPS |
|
|
Text Classification (F16)
|
100% |
493
195.2 IPS |
|
|
Machine Translation (F32)
|
100% |
583
89.8 IPS |
|
|
Machine Translation (F16)
|
100% |
613
94.5 IPS |
