iPhone 12 Pro Max
Geekbench ML Score
859
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 10:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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% |
618
66.2 IPS |
|
|
Image Classification (F16)
|
100% |
600
64.3 IPS |
|
|
Image Classification (I8)
|
81% |
413
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
973
6.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
953
5.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
1384
8.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
354
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
353
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
441
1.78 IPS |
|
|
Object Detection (F32)
|
100% |
871
30.6 IPS |
|
|
Object Detection (F16)
|
100% |
869
30.5 IPS |
|
|
Object Detection (I8)
|
52% |
726
25.5 IPS |
|
|
Face Detection (F32)
|
100% |
1059
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1029
11.8 IPS |
|
|
Face Detection (I8)
|
75% |
817
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
1881
743.8 IPS |
|
|
Text Classification (F16)
|
100% |
1974
780.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1697
261.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1676
258.3 IPS |
