iPhone 12 Pro Max
Geekbench ML Score
728
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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% |
612
65.6 IPS |
|
|
Image Classification (F16)
|
100% |
622
66.6 IPS |
|
|
Image Classification (I8)
|
81% |
406
43.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1005
6.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
994
6.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
1395
8.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
341
1.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
445
1.80 IPS |
|
|
Object Detection (F32)
|
100% |
876
30.7 IPS |
|
|
Object Detection (F16)
|
100% |
611
21.4 IPS |
|
|
Object Detection (I8)
|
52% |
687
24.1 IPS |
|
|
Face Detection (F32)
|
100% |
753
8.66 IPS |
|
|
Face Detection (F16)
|
100% |
995
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
757
8.70 IPS |
|
|
Text Classification (F32)
|
100% |
871
344.3 IPS |
|
|
Text Classification (F16)
|
100% |
638
252.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1514
233.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1665
256.6 IPS |
