iPhone 13 Pro Max
Geekbench ML Score
946
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 03:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2 |
| 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% |
781
83.7 IPS |
|
|
Image Classification (F16)
|
100% |
765
82.0 IPS |
|
|
Image Classification (I8)
|
81% |
465
49.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1161
7.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
1123
6.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
1475
9.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
434
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
426
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
503
2.04 IPS |
|
|
Object Detection (F32)
|
100% |
1110
38.9 IPS |
|
|
Object Detection (F16)
|
100% |
1114
39.1 IPS |
|
|
Object Detection (I8)
|
52% |
732
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1345
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1313
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
857
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
1064
420.7 IPS |
|
|
Text Classification (F16)
|
100% |
1247
493.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1966
303.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1977
304.7 IPS |
