iPhone15,2
Geekbench ML Score
3193
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 06:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7182
769.5 IPS |
|
|
Image Classification (F16)
|
100% |
7333
785.7 IPS |
|
|
Image Classification (I8)
|
81% |
734
78.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2268
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2385
14.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1349
8.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
26423
106.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
26592
107.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
251
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
8936
313.6 IPS |
|
|
Object Detection (F16)
|
100% |
9136
320.6 IPS |
|
|
Object Detection (I8)
|
52% |
1051
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
10424
119.8 IPS |
|
|
Face Detection (F16)
|
100% |
10430
119.8 IPS |
|
|
Face Detection (I8)
|
75% |
1025
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
1260
498.5 IPS |
|
|
Text Classification (F16)
|
100% |
1269
502.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2253
347.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2224
342.8 IPS |
