iPhone 13 Pro
Geekbench ML Score
1059
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2024 04:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
835
89.5 IPS |
|
|
Image Classification (F16)
|
100% |
818
87.6 IPS |
|
|
Image Classification (I8)
|
81% |
452
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1137
7.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
1111
6.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
1460
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
428
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
422
1.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
489
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
1163
40.8 IPS |
|
|
Object Detection (F16)
|
100% |
1170
41.1 IPS |
|
|
Object Detection (I8)
|
52% |
740
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1391
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1379
15.8 IPS |
|
|
Face Detection (I8)
|
75% |
847
9.73 IPS |
|
|
Text Classification (F32)
|
100% |
2958
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2754
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
2100
323.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2131
328.4 IPS |
