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 | November 03 2021 10:34 AM |
| Views | 1 |
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% |
782
83.8 IPS |
|
|
Image Classification (F16)
|
100% |
772
82.7 IPS |
|
|
Image Classification (I8)
|
81% |
421
45.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1116
6.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
1080
6.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1412
8.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
403
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
395
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
479
1.94 IPS |
|
|
Object Detection (F32)
|
100% |
1033
36.2 IPS |
|
|
Object Detection (F16)
|
100% |
1046
36.7 IPS |
|
|
Object Detection (I8)
|
52% |
679
23.8 IPS |
|
|
Face Detection (F32)
|
100% |
1257
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1213
13.9 IPS |
|
|
Face Detection (I8)
|
75% |
831
9.54 IPS |
|
|
Text Classification (F32)
|
100% |
1314
519.7 IPS |
|
|
Text Classification (F16)
|
100% |
1273
503.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1964
302.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1948
300.3 IPS |
