iPhone 12 Pro Max
Geekbench ML Score
1599
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
1736
186.0 IPS |
|
|
Image Classification (F16)
|
100% |
1302
139.5 IPS |
|
|
Image Classification (I8)
|
81% |
639
68.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4094
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5860
36.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1117
6.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
1492
6.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
4987
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
210
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
1594
56.0 IPS |
|
|
Object Detection (F16)
|
99% |
1685
59.1 IPS |
|
|
Object Detection (I8)
|
52% |
883
31.0 IPS |
|
|
Face Detection (F32)
|
100% |
4257
48.9 IPS |
|
|
Face Detection (F16)
|
97% |
5326
61.2 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
855
338.1 IPS |
|
|
Text Classification (F16)
|
98% |
1105
437.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1709
263.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1713
264.0 IPS |
