iPhone 13
Geekbench ML Score
1977
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 02:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1734
185.8 IPS |
|
|
Image Classification (F16)
|
100% |
2618
280.5 IPS |
|
|
Image Classification (I8)
|
81% |
645
69.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5334
32.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7194
44.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1113
6.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
1763
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
4190
17.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
214
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
2132
74.8 IPS |
|
|
Object Detection (F16)
|
100% |
3075
107.9 IPS |
|
|
Object Detection (I8)
|
52% |
895
31.4 IPS |
|
|
Face Detection (F32)
|
100% |
4790
55.0 IPS |
|
|
Face Detection (F16)
|
97% |
5795
66.6 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.85 IPS |
|
|
Text Classification (F32)
|
100% |
1801
712.2 IPS |
|
|
Text Classification (F16)
|
100% |
2052
811.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2035
313.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2045
315.2 IPS |
