iPhone 13 Pro
Geekbench ML Score
940
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 01:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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% |
800
85.7 IPS |
|
|
Image Classification (F16)
|
100% |
781
83.6 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1169
7.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1153
7.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1460
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
448
1.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
440
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
501
2.03 IPS |
|
|
Object Detection (F32)
|
100% |
1144
40.2 IPS |
|
|
Object Detection (F16)
|
100% |
1136
39.9 IPS |
|
|
Object Detection (I8)
|
52% |
753
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1365
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1337
15.4 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.78 IPS |
|
|
Text Classification (F32)
|
100% |
908
359.2 IPS |
|
|
Text Classification (F16)
|
100% |
958
378.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2043
314.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2048
315.6 IPS |
