iPhone 7
Geekbench ML Score
231
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 10:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
133
14.2 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.3 IPS |
|
|
Image Classification (I8)
|
81% |
261
27.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
258
1.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
259
1.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
469
2.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
107
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
238
8.35 IPS |
|
|
Object Detection (F16)
|
100% |
241
8.44 IPS |
|
|
Object Detection (I8)
|
52% |
367
12.9 IPS |
|
|
Face Detection (F32)
|
100% |
324
3.73 IPS |
|
|
Face Detection (F16)
|
100% |
325
3.73 IPS |
|
|
Face Detection (I8)
|
75% |
348
4.00 IPS |
|
|
Text Classification (F32)
|
100% |
314
124.1 IPS |
|
|
Text Classification (F16)
|
100% |
316
125.0 IPS |
|
|
Machine Translation (F32)
|
100% |
324
49.9 IPS |
|
|
Machine Translation (F16)
|
100% |
327
50.3 IPS |
