iPhone 7
Geekbench ML Score
275
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 08 2024 06:15 AM |
| Views | 1 |
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% |
292
31.3 IPS |
|
|
Image Classification (F16)
|
100% |
267
28.6 IPS |
|
|
Image Classification (I8)
|
81% |
497
53.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
471
2.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
437
2.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
528
3.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
245
8.58 IPS |
|
|
Object Detection (F16)
|
100% |
235
8.24 IPS |
|
|
Object Detection (I8)
|
52% |
368
12.9 IPS |
|
|
Face Detection (F32)
|
100% |
321
3.69 IPS |
|
|
Face Detection (F16)
|
100% |
321
3.68 IPS |
|
|
Face Detection (I8)
|
75% |
342
3.92 IPS |
|
|
Text Classification (F32)
|
100% |
318
125.9 IPS |
|
|
Text Classification (F16)
|
100% |
317
125.6 IPS |
|
|
Machine Translation (F32)
|
100% |
329
50.7 IPS |
|
|
Machine Translation (F16)
|
100% |
328
50.6 IPS |
