iPhone 13 Pro Max
Geekbench ML Score
821
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 04:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
768
82.3 IPS |
|
|
Image Classification (F16)
|
100% |
758
81.2 IPS |
|
|
Image Classification (I8)
|
81% |
457
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1113
6.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
6.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
1427
8.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
331
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
320
1.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
463
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
796
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
734
25.8 IPS |
|
|
Object Detection (I8)
|
52% |
759
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1099
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
911
10.5 IPS |
|
|
Face Detection (I8)
|
75% |
709
8.14 IPS |
|
|
Text Classification (F32)
|
100% |
567
224.4 IPS |
|
|
Text Classification (F16)
|
100% |
2020
798.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1779
274.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
248.7 IPS |
