iPhone 7
Geekbench ML Score
377
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 08 2024 05:42 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% |
285
30.5 IPS |
|
|
Image Classification (F16)
|
100% |
270
28.9 IPS |
|
|
Image Classification (I8)
|
81% |
316
33.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
604
3.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
617
3.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
582
3.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
439
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
400
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
561
19.7 IPS |
|
|
Object Detection (I8)
|
52% |
378
13.2 IPS |
|
|
Face Detection (F32)
|
100% |
874
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
710
8.16 IPS |
|
|
Face Detection (I8)
|
75% |
307
3.52 IPS |
|
|
Text Classification (F32)
|
98% |
146
57.7 IPS |
|
|
Text Classification (F16)
|
98% |
132
52.1 IPS |
|
|
Machine Translation (F32)
|
100% |
492
75.8 IPS |
|
|
Machine Translation (F16)
|
100% |
500
77.1 IPS |
