iPhone 7
Geekbench ML Score
571
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 03:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
567
60.7 IPS |
|
|
Image Classification (F16)
|
100% |
584
62.5 IPS |
|
|
Image Classification (I8)
|
81% |
319
34.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1458
9.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
2311
14.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
518
3.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
631
2.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
1190
4.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
77
0.31 IPS |
|
|
Object Detection (F32)
|
100% |
817
28.7 IPS |
|
|
Object Detection (F16)
|
100% |
890
31.2 IPS |
|
|
Object Detection (I8)
|
52% |
209
7.33 IPS |
|
|
Face Detection (F32)
|
100% |
1456
16.7 IPS |
|
|
Face Detection (F16)
|
97% |
2631
30.2 IPS |
|
|
Face Detection (I8)
|
75% |
192
2.21 IPS |
|
|
Text Classification (F32)
|
100% |
407
161.0 IPS |
|
|
Text Classification (F16)
|
98% |
504
199.4 IPS |
|
|
Machine Translation (F32)
|
100% |
304
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
329
50.7 IPS |
