iPhone 13 Pro
Geekbench ML Score
937
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 05:34 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7 |
| 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% |
781
83.7 IPS |
|
|
Image Classification (F16)
|
100% |
761
81.5 IPS |
|
|
Image Classification (I8)
|
81% |
445
47.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1131
6.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1111
6.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
1456
8.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
430
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
422
1.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
489
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
1103
38.7 IPS |
|
|
Object Detection (F16)
|
100% |
1096
38.5 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1330
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1305
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.75 IPS |
|
|
Text Classification (F32)
|
100% |
1043
412.4 IPS |
|
|
Text Classification (F16)
|
100% |
1138
450.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2059
317.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2053
316.4 IPS |
