iPhone 13
Geekbench ML Score
921
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 06 2022 01:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
789
84.5 IPS |
|
|
Image Classification (F16)
|
100% |
751
80.5 IPS |
|
|
Image Classification (I8)
|
81% |
466
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1116
6.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
6.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
1463
9.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
418
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
476
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
1051
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
1057
37.1 IPS |
|
|
Object Detection (I8)
|
52% |
769
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1320
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1288
14.8 IPS |
|
|
Face Detection (I8)
|
75% |
845
9.71 IPS |
|
|
Text Classification (F32)
|
100% |
970
383.6 IPS |
|
|
Text Classification (F16)
|
100% |
1072
424.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2043
314.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2030
312.9 IPS |
