iPhone 7
Geekbench ML Score
599
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 25 2024 01:48 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.2 |
| 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% |
573
61.4 IPS |
|
|
Image Classification (F16)
|
100% |
596
63.9 IPS |
|
|
Image Classification (I8)
|
81% |
299
32.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1516
9.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
2529
15.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
524
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
624
2.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
1208
4.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
902
31.6 IPS |
|
|
Object Detection (F16)
|
100% |
950
33.3 IPS |
|
|
Object Detection (I8)
|
52% |
279
9.79 IPS |
|
|
Face Detection (F32)
|
100% |
1453
16.7 IPS |
|
|
Face Detection (F16)
|
97% |
2630
30.2 IPS |
|
|
Face Detection (I8)
|
75% |
192
2.21 IPS |
|
|
Text Classification (F32)
|
100% |
436
172.6 IPS |
|
|
Text Classification (F16)
|
98% |
528
208.9 IPS |
|
|
Machine Translation (F32)
|
100% |
313
48.2 IPS |
|
|
Machine Translation (F16)
|
100% |
301
46.3 IPS |
