iPhone 7
Geekbench ML Score
356
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 25 2024 09:27 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
207
22.1 IPS |
|
|
Image Classification (F16)
|
100% |
233
25.0 IPS |
|
|
Image Classification (I8)
|
81% |
315
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
606
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
605
3.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
538
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
440
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
96
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
367
12.9 IPS |
|
|
Object Detection (F16)
|
100% |
564
19.8 IPS |
|
|
Object Detection (I8)
|
52% |
320
11.2 IPS |
|
|
Face Detection (F32)
|
100% |
638
7.33 IPS |
|
|
Face Detection (F16)
|
100% |
831
9.54 IPS |
|
|
Face Detection (I8)
|
75% |
305
3.51 IPS |
|
|
Text Classification (F32)
|
98% |
140
55.5 IPS |
|
|
Text Classification (F16)
|
98% |
149
58.8 IPS |
|
|
Machine Translation (F32)
|
100% |
504
77.6 IPS |
|
|
Machine Translation (F16)
|
100% |
507
78.1 IPS |
