iPhone 13 Pro
Geekbench ML Score
991
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 17 2024 01:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
791
84.8 IPS |
|
|
Image Classification (F16)
|
100% |
773
82.8 IPS |
|
|
Image Classification (I8)
|
81% |
460
49.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1138
7.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
1106
6.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1472
9.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
420
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
418
1.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
487
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1129
39.6 IPS |
|
|
Object Detection (F16)
|
100% |
1148
40.3 IPS |
|
|
Object Detection (I8)
|
52% |
756
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1332
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1297
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
862
9.90 IPS |
|
|
Text Classification (F32)
|
100% |
1745
690.3 IPS |
|
|
Text Classification (F16)
|
100% |
1811
716.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2035
313.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2037
313.9 IPS |
