iPhone 7
Geekbench ML Score
202
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:11 PM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
137
14.6 IPS |
|
|
Image Classification (F16)
|
100% |
133
14.2 IPS |
|
|
Image Classification (I8)
|
81% |
265
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
261
1.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
260
1.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
478
2.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
60
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
87
0.35 IPS |
|
|
Object Detection (F32)
|
100% |
205
7.21 IPS |
|
|
Object Detection (F16)
|
100% |
210
7.35 IPS |
|
|
Object Detection (I8)
|
52% |
278
9.76 IPS |
|
|
Face Detection (F32)
|
100% |
271
3.11 IPS |
|
|
Face Detection (F16)
|
100% |
266
3.06 IPS |
|
|
Face Detection (I8)
|
75% |
275
3.16 IPS |
|
|
Text Classification (F32)
|
100% |
244
96.4 IPS |
|
|
Text Classification (F16)
|
100% |
238
94.3 IPS |
|
|
Machine Translation (F32)
|
100% |
324
49.9 IPS |
|
|
Machine Translation (F16)
|
100% |
330
50.8 IPS |
