iPhone 7
Geekbench ML Score
427
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 23 2024 06:06 PM |
| 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% |
288
30.8 IPS |
|
|
Image Classification (F16)
|
100% |
261
27.9 IPS |
|
|
Image Classification (I8)
|
81% |
525
56.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
499
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
510
3.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
949
5.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
197
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
438
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
439
15.4 IPS |
|
|
Object Detection (I8)
|
52% |
684
24.0 IPS |
|
|
Face Detection (F32)
|
100% |
556
6.39 IPS |
|
|
Face Detection (F16)
|
100% |
532
6.11 IPS |
|
|
Face Detection (I8)
|
75% |
595
6.83 IPS |
|
|
Text Classification (F32)
|
100% |
504
199.3 IPS |
|
|
Text Classification (F16)
|
100% |
534
211.4 IPS |
|
|
Machine Translation (F32)
|
100% |
594
91.5 IPS |
|
|
Machine Translation (F16)
|
100% |
625
96.4 IPS |
