iPhone 7
Geekbench ML Score
330
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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% |
241
25.8 IPS |
|
|
Image Classification (F16)
|
100% |
226
24.2 IPS |
|
|
Image Classification (I8)
|
81% |
319
34.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
395
2.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
395
2.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
589
3.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
364
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
300
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
420
14.8 IPS |
|
|
Object Detection (F16)
|
100% |
435
15.3 IPS |
|
|
Object Detection (I8)
|
52% |
349
12.2 IPS |
|
|
Face Detection (F32)
|
100% |
654
7.51 IPS |
|
|
Face Detection (F16)
|
100% |
717
8.23 IPS |
|
|
Face Detection (I8)
|
75% |
352
4.04 IPS |
|
|
Text Classification (F32)
|
98% |
130
51.5 IPS |
|
|
Text Classification (F16)
|
98% |
144
56.8 IPS |
|
|
Machine Translation (F32)
|
100% |
444
68.4 IPS |
|
|
Machine Translation (F16)
|
100% |
464
71.5 IPS |
