iPhone 13 Pro
Geekbench ML Score
944
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 08:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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% |
806
86.3 IPS |
|
|
Image Classification (F16)
|
100% |
769
82.3 IPS |
|
|
Image Classification (I8)
|
81% |
435
46.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1170
7.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
1173
7.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1443
8.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
440
1.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
501
2.03 IPS |
|
|
Object Detection (F32)
|
100% |
1125
39.5 IPS |
|
|
Object Detection (F16)
|
100% |
1142
40.1 IPS |
|
|
Object Detection (I8)
|
52% |
708
24.8 IPS |
|
|
Face Detection (F32)
|
100% |
1381
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1355
15.6 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
1009
399.0 IPS |
|
|
Text Classification (F16)
|
100% |
1081
427.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2050
315.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2054
316.6 IPS |
