iPhone 13 Pro Max
Geekbench ML Score
2678
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 06 2022 03:11 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5437
582.6 IPS |
|
|
Image Classification (F16)
|
100% |
6162
660.3 IPS |
|
|
Image Classification (I8)
|
81% |
682
73.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2057
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2058
12.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1192
7.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
22204
89.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
22365
90.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
227
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
6955
244.1 IPS |
|
|
Object Detection (F16)
|
100% |
6900
242.1 IPS |
|
|
Object Detection (I8)
|
52% |
950
33.3 IPS |
|
|
Face Detection (F32)
|
100% |
7791
89.5 IPS |
|
|
Face Detection (F16)
|
100% |
7868
90.4 IPS |
|
|
Face Detection (I8)
|
75% |
915
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
1026
405.8 IPS |
|
|
Text Classification (F16)
|
100% |
1036
409.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1951
300.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1958
301.7 IPS |
