iPhone 7
Geekbench ML Score
462
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 12 2024 12:08 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
562
60.2 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.6 IPS |
|
|
Image Classification (I8)
|
81% |
139
14.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1529
9.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
2527
15.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
222
1.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
641
2.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
1206
4.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
45
0.18 IPS |
|
|
Object Detection (F32)
|
100% |
693
24.3 IPS |
|
|
Object Detection (F16)
|
100% |
726
25.5 IPS |
|
|
Object Detection (I8)
|
52% |
155
5.43 IPS |
|
|
Face Detection (F32)
|
100% |
1450
16.7 IPS |
|
|
Face Detection (F16)
|
97% |
2595
29.8 IPS |
|
|
Face Detection (I8)
|
75% |
138
1.58 IPS |
|
|
Text Classification (F32)
|
100% |
381
150.5 IPS |
|
|
Text Classification (F16)
|
98% |
511
202.1 IPS |
|
|
Machine Translation (F32)
|
100% |
203
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.1 IPS |
