iPhone 13 Pro
Geekbench ML Score
923
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | mersa |
| Upload Date | February 22 2023 11:58 AM |
| Views | 3 |
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% |
772
82.7 IPS |
|
|
Image Classification (F16)
|
100% |
741
79.4 IPS |
|
|
Image Classification (I8)
|
81% |
466
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1117
6.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
6.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
1462
9.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
412
1.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
413
1.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
482
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1070
37.5 IPS |
|
|
Object Detection (F16)
|
100% |
1089
38.2 IPS |
|
|
Object Detection (I8)
|
52% |
763
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1293
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1273
14.6 IPS |
|
|
Face Detection (I8)
|
75% |
857
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
1013
400.5 IPS |
|
|
Text Classification (F16)
|
100% |
1059
419.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2050
315.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2051
316.1 IPS |
