iPhone 12 Pro Max
Geekbench ML Score
902
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 06:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5 |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
639
68.4 IPS |
|
|
Image Classification (F16)
|
100% |
609
65.3 IPS |
|
|
Image Classification (I8)
|
81% |
439
47.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
966
5.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
950
5.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
1415
8.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
370
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
365
1.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
443
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
941
33.0 IPS |
|
|
Object Detection (F16)
|
100% |
937
32.9 IPS |
|
|
Object Detection (I8)
|
52% |
769
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1087
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1071
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
2428
960.5 IPS |
|
|
Text Classification (F16)
|
100% |
2413
954.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1679
258.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1676
258.3 IPS |
