iPhone 12 Pro Max
Geekbench ML Score
2369
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 03:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4732
507.1 IPS |
|
|
Image Classification (F16)
|
100% |
4764
510.4 IPS |
|
|
Image Classification (I8)
|
81% |
646
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1812
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1813
11.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1184
7.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
17273
69.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
17274
69.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
6638
232.9 IPS |
|
|
Object Detection (F16)
|
100% |
6240
219.0 IPS |
|
|
Object Detection (I8)
|
52% |
919
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
6095
70.0 IPS |
|
|
Face Detection (F16)
|
100% |
6358
73.0 IPS |
|
|
Face Detection (I8)
|
75% |
898
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
961
380.1 IPS |
|
|
Text Classification (F16)
|
100% |
954
377.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1683
259.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1691
260.7 IPS |
