iPhone 13
Geekbench ML Score
901
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 03:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
758
81.2 IPS |
|
|
Image Classification (F16)
|
100% |
733
78.6 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1057
6.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
1014
6.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1440
8.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
465
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
985
34.6 IPS |
|
|
Object Detection (F16)
|
100% |
974
34.2 IPS |
|
|
Object Detection (I8)
|
52% |
752
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1383
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1319
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.76 IPS |
|
|
Text Classification (F32)
|
100% |
1076
425.8 IPS |
|
|
Text Classification (F16)
|
100% |
1000
395.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2054
316.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2050
315.9 IPS |
