iPhone 7
Geekbench ML Score
270
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:51 PM |
| 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% |
246
26.4 IPS |
|
|
Image Classification (F16)
|
100% |
221
23.7 IPS |
|
|
Image Classification (I8)
|
81% |
143
15.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
402
2.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
264
1.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
56
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
415
14.6 IPS |
|
|
Object Detection (F16)
|
100% |
459
16.1 IPS |
|
|
Object Detection (I8)
|
52% |
206
7.23 IPS |
|
|
Face Detection (F32)
|
100% |
659
7.57 IPS |
|
|
Face Detection (F16)
|
100% |
730
8.39 IPS |
|
|
Face Detection (I8)
|
75% |
189
2.17 IPS |
|
|
Text Classification (F32)
|
98% |
111
44.0 IPS |
|
|
Text Classification (F16)
|
98% |
111
44.0 IPS |
|
|
Machine Translation (F32)
|
100% |
324
49.9 IPS |
|
|
Machine Translation (F16)
|
100% |
323
49.7 IPS |
