iPhone 12 Pro Max
Geekbench ML Score
624
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 05:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
411
44.1 IPS |
|
|
Image Classification (F16)
|
100% |
411
44.1 IPS |
|
|
Image Classification (I8)
|
81% |
723
77.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
510
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
513
3.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1214
7.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
298
1.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
360
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
609
21.4 IPS |
|
|
Object Detection (F16)
|
100% |
611
21.5 IPS |
|
|
Object Detection (I8)
|
52% |
902
31.6 IPS |
|
|
Face Detection (F32)
|
100% |
738
8.48 IPS |
|
|
Face Detection (F16)
|
100% |
744
8.55 IPS |
|
|
Face Detection (I8)
|
75% |
904
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1077
425.9 IPS |
|
|
Text Classification (F16)
|
100% |
1090
431.2 IPS |
|
|
Machine Translation (F32)
|
100% |
802
123.7 IPS |
|
|
Machine Translation (F16)
|
100% |
791
122.0 IPS |
