iPhone 7
Geekbench ML Score
310
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 02 2024 12:06 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
214
22.9 IPS |
|
|
Image Classification (F16)
|
100% |
230
24.7 IPS |
|
|
Image Classification (I8)
|
81% |
249
26.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
566
3.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
564
3.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
415
2.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
73
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
427
15.0 IPS |
|
|
Object Detection (F16)
|
100% |
531
18.6 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.30 IPS |
|
|
Face Detection (F32)
|
100% |
613
7.04 IPS |
|
|
Face Detection (F16)
|
100% |
877
10.1 IPS |
|
|
Face Detection (I8)
|
75% |
192
2.20 IPS |
|
|
Text Classification (F32)
|
98% |
98
38.9 IPS |
|
|
Text Classification (F16)
|
98% |
128
50.4 IPS |
|
|
Machine Translation (F32)
|
100% |
391
60.3 IPS |
|
|
Machine Translation (F16)
|
100% |
409
63.1 IPS |
