iPhone 12 Pro Max
Geekbench ML Score
1610
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 10:20 AM |
| Views | 3 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1344
144.0 IPS |
|
|
Image Classification (F16)
|
100% |
1530
164.0 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4215
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5861
36.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1170
7.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
1471
5.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
4992
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
221
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
1644
57.7 IPS |
|
|
Object Detection (F16)
|
99% |
1690
59.3 IPS |
|
|
Object Detection (I8)
|
52% |
916
32.1 IPS |
|
|
Face Detection (F32)
|
100% |
4286
49.2 IPS |
|
|
Face Detection (F16)
|
97% |
5474
62.9 IPS |
|
|
Face Detection (I8)
|
75% |
886
10.2 IPS |
|
|
Text Classification (F32)
|
100% |
851
336.8 IPS |
|
|
Text Classification (F16)
|
98% |
1095
433.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1677
258.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1675
258.1 IPS |
