iPhone 13 Pro Max
Geekbench ML Score
917
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 21 2022 08:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
770
82.5 IPS |
|
|
Image Classification (F16)
|
100% |
746
79.9 IPS |
|
|
Image Classification (I8)
|
81% |
446
47.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1073
6.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
1080
6.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1425
8.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
417
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
410
1.66 IPS |
|
|
Pose Estimation (I8)
|
80% |
487
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1048
36.8 IPS |
|
|
Object Detection (F16)
|
100% |
1074
37.7 IPS |
|
|
Object Detection (I8)
|
52% |
726
25.5 IPS |
|
|
Face Detection (F32)
|
100% |
1326
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1297
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.75 IPS |
|
|
Text Classification (F32)
|
100% |
1085
429.3 IPS |
|
|
Text Classification (F16)
|
100% |
1110
438.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1975
304.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1968
303.3 IPS |
