iPhone 13
Geekbench ML Score
953
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 24 2024 07:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
790
84.6 IPS |
|
|
Image Classification (F16)
|
100% |
755
80.9 IPS |
|
|
Image Classification (I8)
|
81% |
469
50.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1111
6.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
1070
6.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
1425
8.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
400
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
389
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
465
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
1055
37.0 IPS |
|
|
Object Detection (F16)
|
100% |
1064
37.4 IPS |
|
|
Object Detection (I8)
|
52% |
768
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1274
14.6 IPS |
|
|
Face Detection (F16)
|
100% |
1236
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
1771
700.4 IPS |
|
|
Text Classification (F16)
|
100% |
1447
572.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2022
311.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2016
310.7 IPS |
