iPhone 12 Pro Max
Geekbench ML Score
887
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 08:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
634
68.0 IPS |
|
|
Image Classification (F16)
|
100% |
619
66.3 IPS |
|
|
Image Classification (I8)
|
81% |
413
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
982
6.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
957
5.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
1378
8.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
361
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
357
1.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
441
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
907
31.8 IPS |
|
|
Object Detection (F16)
|
100% |
906
31.8 IPS |
|
|
Object Detection (I8)
|
52% |
729
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
1085
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1070
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
819
9.41 IPS |
|
|
Text Classification (F32)
|
100% |
2323
918.6 IPS |
|
|
Text Classification (F16)
|
100% |
2315
915.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1681
259.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1678
258.6 IPS |
