iPhone 13 Pro
Geekbench ML Score
2245
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 01:44 PM |
| Views | 1 |
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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2908
311.6 IPS |
|
|
Image Classification (F16)
|
100% |
4334
464.3 IPS |
|
|
Image Classification (I8)
|
81% |
516
55.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
5989
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
8228
50.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1164
7.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
1902
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
4863
19.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
219
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
3281
115.1 IPS |
|
|
Object Detection (F16)
|
100% |
3319
116.5 IPS |
|
|
Object Detection (I8)
|
52% |
967
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
5146
59.1 IPS |
|
|
Face Detection (F16)
|
97% |
9487
109.0 IPS |
|
|
Face Detection (I8)
|
75% |
903
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1909
755.1 IPS |
|
|
Text Classification (F16)
|
100% |
1682
665.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2054
316.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2044
315.0 IPS |
