iPhone 7
Geekbench ML Score
399
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 06 2022 04:13 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 7 |
| Model ID | iPhone9,3 |
| Motherboard | D101AP |
| 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% |
273
29.3 IPS |
|
|
Image Classification (F16)
|
100% |
224
23.9 IPS |
|
|
Image Classification (I8)
|
81% |
320
34.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
649
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
633
3.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
586
3.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
441
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
446
1.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
629
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
461
16.2 IPS |
|
|
Object Detection (I8)
|
52% |
456
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
682
7.83 IPS |
|
|
Face Detection (F16)
|
100% |
798
9.17 IPS |
|
|
Face Detection (I8)
|
75% |
416
4.78 IPS |
|
|
Text Classification (F32)
|
98% |
136
53.7 IPS |
|
|
Text Classification (F16)
|
98% |
136
53.6 IPS |
|
|
Machine Translation (F32)
|
100% |
615
94.8 IPS |
|
|
Machine Translation (F16)
|
100% |
681
105.0 IPS |
