iPhone 7
Geekbench ML Score
401
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 13 2024 11:21 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
268
28.7 IPS |
|
|
Image Classification (F16)
|
100% |
244
26.1 IPS |
|
|
Image Classification (I8)
|
81% |
321
34.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
653
4.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
645
3.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
591
3.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
117
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
405
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
637
22.3 IPS |
|
|
Object Detection (I8)
|
52% |
457
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
692
7.94 IPS |
|
|
Face Detection (F16)
|
100% |
749
8.61 IPS |
|
|
Face Detection (I8)
|
75% |
419
4.82 IPS |
|
|
Text Classification (F32)
|
98% |
133
52.4 IPS |
|
|
Text Classification (F16)
|
98% |
153
60.6 IPS |
|
|
Machine Translation (F32)
|
100% |
690
106.4 IPS |
|
|
Machine Translation (F16)
|
100% |
691
106.5 IPS |
