iPhone 13 Pro Max
Geekbench ML Score
2263
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 06:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2823
302.5 IPS |
|
|
Image Classification (F16)
|
100% |
4362
467.3 IPS |
|
|
Image Classification (I8)
|
81% |
678
72.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5713
35.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8234
50.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1192
7.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
2181
8.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
5023
20.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
228
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
3285
115.3 IPS |
|
|
Object Detection (F16)
|
100% |
3441
120.8 IPS |
|
|
Object Detection (I8)
|
52% |
935
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
5180
59.5 IPS |
|
|
Face Detection (F16)
|
97% |
9358
107.5 IPS |
|
|
Face Detection (I8)
|
75% |
893
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
1549
612.5 IPS |
|
|
Text Classification (F16)
|
100% |
1509
596.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2101
323.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2101
323.8 IPS |
