iPhone 13 Pro
Geekbench ML Score
2348
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 02:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2866
307.1 IPS |
|
|
Image Classification (F16)
|
100% |
4402
471.6 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5967
36.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8473
52.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1275
7.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
1921
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
4897
19.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3306
116.0 IPS |
|
|
Object Detection (F16)
|
100% |
4967
174.3 IPS |
|
|
Object Detection (I8)
|
52% |
994
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
5215
59.9 IPS |
|
|
Face Detection (F16)
|
97% |
9300
106.8 IPS |
|
|
Face Detection (I8)
|
75% |
963
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1474
582.8 IPS |
|
|
Text Classification (F16)
|
100% |
1823
721.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2056
316.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2054
316.6 IPS |
