iPhone 13 Pro
Geekbench ML Score
915
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
756
81.0 IPS |
|
|
Image Classification (F16)
|
100% |
742
79.5 IPS |
|
|
Image Classification (I8)
|
81% |
456
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1085
6.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1054
6.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
1450
8.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
410
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
402
1.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
481
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1064
37.3 IPS |
|
|
Object Detection (F16)
|
100% |
1048
36.8 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1292
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1260
14.5 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
1006
397.8 IPS |
|
|
Text Classification (F16)
|
100% |
1093
432.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2039
314.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2053
316.3 IPS |
