iPhone 7
Geekbench ML Score
309
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | July 25 2024 01:54 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.2 |
| Model | iPhone 7 |
| Model ID | iPhone9,3 |
| Motherboard | D101AP |
| 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% |
391
41.9 IPS |
|
|
Image Classification (F16)
|
100% |
397
42.6 IPS |
|
|
Image Classification (I8)
|
81% |
223
23.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
482
2.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
461
2.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
263
1.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
443
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
446
1.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
56
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
491
17.2 IPS |
|
|
Object Detection (F16)
|
100% |
516
18.1 IPS |
|
|
Object Detection (I8)
|
52% |
205
7.19 IPS |
|
|
Face Detection (F32)
|
100% |
919
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
786
9.03 IPS |
|
|
Face Detection (I8)
|
75% |
190
2.18 IPS |
|
|
Text Classification (F32)
|
98% |
119
46.9 IPS |
|
|
Text Classification (F16)
|
98% |
118
46.5 IPS |
|
|
Machine Translation (F32)
|
100% |
299
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
313
48.2 IPS |
