iPhone 7
Geekbench ML Score
370
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
278
29.7 IPS |
|
|
Image Classification (F16)
|
100% |
595
63.7 IPS |
|
|
Image Classification (I8)
|
81% |
160
17.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
526
3.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
842
5.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
245
1.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
219
0.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
367
1.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
71
0.29 IPS |
|
|
Object Detection (F32)
|
100% |
545
19.1 IPS |
|
|
Object Detection (F16)
|
100% |
839
29.5 IPS |
|
|
Object Detection (I8)
|
52% |
268
9.42 IPS |
|
|
Face Detection (F32)
|
100% |
537
6.17 IPS |
|
|
Face Detection (F16)
|
97% |
838
9.63 IPS |
|
|
Face Detection (I8)
|
75% |
238
2.74 IPS |
|
|
Text Classification (F32)
|
100% |
401
158.7 IPS |
|
|
Text Classification (F16)
|
98% |
537
212.2 IPS |
|
|
Machine Translation (F32)
|
100% |
370
57.1 IPS |
|
|
Machine Translation (F16)
|
100% |
377
58.1 IPS |
