iPhone 13 Pro
Geekbench ML Score
3024
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 13 2024 04:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6520
698.6 IPS |
|
|
Image Classification (F16)
|
100% |
6280
672.9 IPS |
|
|
Image Classification (I8)
|
81% |
698
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2322
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2285
14.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1259
7.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
24286
98.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24392
98.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7485
262.7 IPS |
|
|
Object Detection (F16)
|
100% |
7936
278.5 IPS |
|
|
Object Detection (I8)
|
52% |
982
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
9013
103.5 IPS |
|
|
Face Detection (F16)
|
100% |
9290
106.7 IPS |
|
|
Face Detection (I8)
|
75% |
941
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
1579
624.5 IPS |
|
|
Text Classification (F16)
|
100% |
1515
599.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2125
327.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2131
328.4 IPS |
