iPhone 7
Geekbench ML Score
414
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 10 2024 10:09 PM |
| 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% |
277
29.7 IPS |
|
|
Image Classification (F16)
|
100% |
280
30.0 IPS |
|
|
Image Classification (I8)
|
81% |
488
52.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
513
3.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
494
3.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
935
5.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
187
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
453
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
434
15.2 IPS |
|
|
Object Detection (I8)
|
52% |
645
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
519
5.97 IPS |
|
|
Face Detection (F16)
|
100% |
520
5.98 IPS |
|
|
Face Detection (I8)
|
75% |
568
6.52 IPS |
|
|
Text Classification (F32)
|
100% |
507
200.4 IPS |
|
|
Text Classification (F16)
|
100% |
475
187.8 IPS |
|
|
Machine Translation (F32)
|
100% |
511
78.7 IPS |
|
|
Machine Translation (F16)
|
100% |
603
92.9 IPS |
