iPhone 7 Plus
Geekbench ML Score
413
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 17 2024 03:57 PM |
| Views | 1 |
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% |
282
30.2 IPS |
|
|
Image Classification (F16)
|
100% |
278
29.8 IPS |
|
|
Image Classification (I8)
|
81% |
500
53.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
522
3.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
3.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
922
5.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
154
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
448
15.7 IPS |
|
|
Object Detection (F16)
|
100% |
426
14.9 IPS |
|
|
Object Detection (I8)
|
52% |
660
23.2 IPS |
|
|
Face Detection (F32)
|
100% |
552
6.35 IPS |
|
|
Face Detection (F16)
|
100% |
518
5.95 IPS |
|
|
Face Detection (I8)
|
75% |
599
6.89 IPS |
|
|
Text Classification (F32)
|
100% |
478
189.0 IPS |
|
|
Text Classification (F16)
|
100% |
479
189.5 IPS |
|
|
Machine Translation (F32)
|
100% |
583
89.9 IPS |
|
|
Machine Translation (F16)
|
100% |
501
77.2 IPS |
