iPhone 11 Pro Max
Geekbench ML Score
570
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 05 2023 12:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
515
55.2 IPS |
|
|
Image Classification (F16)
|
100% |
501
53.6 IPS |
|
|
Image Classification (I8)
|
81% |
196
21.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
778
4.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
771
4.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
1018
6.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
158
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
172
0.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
280
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
749
26.3 IPS |
|
|
Object Detection (F16)
|
100% |
762
26.8 IPS |
|
|
Object Detection (I8)
|
52% |
433
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
867
9.96 IPS |
|
|
Face Detection (F16)
|
100% |
833
9.57 IPS |
|
|
Face Detection (I8)
|
75% |
608
6.99 IPS |
|
|
Text Classification (F32)
|
100% |
774
306.0 IPS |
|
|
Text Classification (F16)
|
100% |
840
332.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1158
178.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1200
184.9 IPS |
