iPhone 12 Pro Max
Geekbench ML Score
1601
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 12:07 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% |
1358
145.5 IPS |
|
|
Image Classification (F16)
|
100% |
1602
171.6 IPS |
|
|
Image Classification (I8)
|
81% |
647
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4145
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6027
37.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1130
6.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
1485
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
4934
20.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
213
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
1629
57.2 IPS |
|
|
Object Detection (F16)
|
99% |
1681
59.0 IPS |
|
|
Object Detection (I8)
|
52% |
911
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
4239
48.7 IPS |
|
|
Face Detection (F16)
|
97% |
5424
62.3 IPS |
|
|
Face Detection (I8)
|
75% |
893
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
819
323.7 IPS |
|
|
Text Classification (F16)
|
98% |
1037
410.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1685
259.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1696
261.4 IPS |
