iPhone 12 Pro Max
Geekbench ML Score
681
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | October 03 2023 04:12 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
514
55.1 IPS |
|
|
Image Classification (F16)
|
100% |
519
55.6 IPS |
|
|
Image Classification (I8)
|
81% |
373
40.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
721
4.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
702
4.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
1183
7.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
301
1.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
260
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
333
1.35 IPS |
|
|
Object Detection (F32)
|
100% |
650
22.8 IPS |
|
|
Object Detection (F16)
|
100% |
763
26.8 IPS |
|
|
Object Detection (I8)
|
52% |
666
23.4 IPS |
|
|
Face Detection (F32)
|
100% |
897
10.3 IPS |
|
|
Face Detection (F16)
|
100% |
765
8.79 IPS |
|
|
Face Detection (I8)
|
75% |
779
8.96 IPS |
|
|
Text Classification (F32)
|
100% |
1466
579.8 IPS |
|
|
Text Classification (F16)
|
100% |
1738
687.3 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.6 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.8 IPS |
