iPhone 13
Geekbench ML Score
1792
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 18 2023 02:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1568
168.0 IPS |
|
|
Image Classification (F16)
|
100% |
1622
173.8 IPS |
|
|
Image Classification (I8)
|
81% |
625
66.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4987
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
6734
41.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1086
6.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
1980
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
4301
17.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
208
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
2120
74.4 IPS |
|
|
Object Detection (F16)
|
100% |
2997
105.2 IPS |
|
|
Object Detection (I8)
|
52% |
893
31.4 IPS |
|
|
Face Detection (F32)
|
100% |
4843
55.6 IPS |
|
|
Face Detection (F16)
|
97% |
5764
66.2 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
983
388.9 IPS |
|
|
Text Classification (F16)
|
100% |
1134
448.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2063
318.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2064
318.1 IPS |
