iPhone 12 Pro Max
Geekbench ML Score
886
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 06:58 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
628
67.2 IPS |
|
|
Image Classification (F16)
|
100% |
617
66.1 IPS |
|
|
Image Classification (I8)
|
81% |
441
47.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
950
5.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
934
5.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1388
8.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
364
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
437
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
880
30.9 IPS |
|
|
Object Detection (F16)
|
100% |
900
31.6 IPS |
|
|
Object Detection (I8)
|
52% |
735
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
1082
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1065
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
2368
936.4 IPS |
|
|
Text Classification (F16)
|
100% |
2337
924.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1674
258.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1668
257.1 IPS |
