iPhone 13 Pro Max
Geekbench ML Score
1458
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 14 2022 11:09 AM |
| Views | 5 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1948
208.7 IPS |
|
|
Image Classification (F16)
|
100% |
3927
420.8 IPS |
|
|
Image Classification (I8)
|
81% |
297
31.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5683
35.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7989
49.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
544
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
1710
6.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
4260
17.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
1712
60.1 IPS |
|
|
Object Detection (F16)
|
100% |
2526
88.7 IPS |
|
|
Object Detection (I8)
|
52% |
423
14.8 IPS |
|
|
Face Detection (F32)
|
100% |
3935
45.2 IPS |
|
|
Face Detection (F16)
|
97% |
8424
96.8 IPS |
|
|
Face Detection (I8)
|
75% |
417
4.79 IPS |
|
|
Text Classification (F32)
|
100% |
1190
470.8 IPS |
|
|
Text Classification (F16)
|
100% |
1195
472.4 IPS |
|
|
Machine Translation (F32)
|
100% |
924
142.4 IPS |
|
|
Machine Translation (F16)
|
100% |
930
143.3 IPS |
