iPhone 7 Plus
Geekbench ML Score
414
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 7 Plus |
| Model ID | iPhone9,4 |
| Motherboard | D111AP |
| 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% |
291
31.2 IPS |
|
|
Image Classification (F16)
|
100% |
280
30.0 IPS |
|
|
Image Classification (I8)
|
81% |
497
53.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
512
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
493
3.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
928
5.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
198
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
439
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
450
15.8 IPS |
|
|
Object Detection (I8)
|
52% |
644
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
519
5.96 IPS |
|
|
Face Detection (F16)
|
100% |
522
6.00 IPS |
|
|
Face Detection (I8)
|
75% |
590
6.78 IPS |
|
|
Text Classification (F32)
|
100% |
468
185.0 IPS |
|
|
Text Classification (F16)
|
100% |
472
186.9 IPS |
|
|
Machine Translation (F32)
|
100% |
504
77.6 IPS |
|
|
Machine Translation (F16)
|
100% |
580
89.4 IPS |
