iPhone 12 Pro Max
Geekbench ML Score
845
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 09:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
630
67.5 IPS |
|
|
Image Classification (F16)
|
100% |
613
65.6 IPS |
|
|
Image Classification (I8)
|
81% |
423
45.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
984
6.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
957
5.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
1377
8.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
354
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
349
1.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
431
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
834
29.3 IPS |
|
|
Object Detection (F16)
|
100% |
850
29.8 IPS |
|
|
Object Detection (I8)
|
52% |
703
24.7 IPS |
|
|
Face Detection (F32)
|
100% |
1060
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1044
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.36 IPS |
|
|
Text Classification (F32)
|
100% |
1740
688.0 IPS |
|
|
Text Classification (F16)
|
100% |
1677
663.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1669
257.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1653
254.7 IPS |
