iPhone 7
Geekbench ML Score
632
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
563
60.3 IPS |
|
|
Image Classification (F16)
|
100% |
614
65.8 IPS |
|
|
Image Classification (I8)
|
81% |
238
25.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1527
9.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
2535
15.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
409
2.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
642
2.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
1205
4.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
80
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
893
31.3 IPS |
|
|
Object Detection (F16)
|
100% |
1067
37.5 IPS |
|
|
Object Detection (I8)
|
52% |
314
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
1470
16.9 IPS |
|
|
Face Detection (F16)
|
97% |
2617
30.1 IPS |
|
|
Face Detection (I8)
|
75% |
309
3.55 IPS |
|
|
Text Classification (F32)
|
100% |
401
158.4 IPS |
|
|
Text Classification (F16)
|
98% |
537
212.4 IPS |
|
|
Machine Translation (F32)
|
100% |
520
80.2 IPS |
|
|
Machine Translation (F16)
|
100% |
519
80.0 IPS |
