iPhone 11 Pro Max
Geekbench ML Score
1734
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 09:54 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4106
440.0 IPS |
|
|
Image Classification (F16)
|
100% |
4074
436.6 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1583
9.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
1585
9.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
825
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
8644
35.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
8707
35.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
|
Object Detection (F32)
|
94% |
4999
175.4 IPS |
|
|
Object Detection (F16)
|
94% |
5015
176.0 IPS |
|
|
Object Detection (I8)
|
52% |
624
21.9 IPS |
|
|
Face Detection (F32)
|
67% |
5318
61.1 IPS |
|
|
Face Detection (F16)
|
67% |
5356
61.5 IPS |
|
|
Face Detection (I8)
|
75% |
605
6.95 IPS |
|
|
Text Classification (F32)
|
100% |
722
285.7 IPS |
|
|
Text Classification (F16)
|
100% |
745
294.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1188
183.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1196
184.3 IPS |
