iPhone 7
Geekbench ML Score
316
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 25 2024 12:18 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
277
29.7 IPS |
|
|
Image Classification (F16)
|
100% |
272
29.1 IPS |
|
|
Image Classification (I8)
|
81% |
520
55.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
486
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
476
2.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
879
5.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
147
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
246
8.63 IPS |
|
|
Object Detection (F16)
|
100% |
240
8.41 IPS |
|
|
Object Detection (I8)
|
52% |
370
13.0 IPS |
|
|
Face Detection (F32)
|
100% |
323
3.71 IPS |
|
|
Face Detection (F16)
|
100% |
366
4.20 IPS |
|
|
Face Detection (I8)
|
75% |
443
5.09 IPS |
|
|
Text Classification (F32)
|
100% |
375
148.1 IPS |
|
|
Text Classification (F16)
|
100% |
349
138.1 IPS |
|
|
Machine Translation (F32)
|
100% |
356
54.9 IPS |
|
|
Machine Translation (F16)
|
100% |
348
53.7 IPS |
