iPhone 13 Pro Max
Geekbench ML Score
704
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 03:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
451
48.4 IPS |
|
|
Image Classification (F16)
|
100% |
486
52.1 IPS |
|
|
Image Classification (I8)
|
81% |
807
86.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
598
3.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
3.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
1430
8.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
328
1.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
385
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
719
25.2 IPS |
|
|
Object Detection (F16)
|
100% |
703
24.7 IPS |
|
|
Object Detection (I8)
|
52% |
984
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
829
9.52 IPS |
|
|
Face Detection (F16)
|
100% |
859
9.87 IPS |
|
|
Face Detection (I8)
|
75% |
1123
12.9 IPS |
|
|
Text Classification (F32)
|
100% |
1134
448.5 IPS |
|
|
Text Classification (F16)
|
100% |
1097
434.1 IPS |
|
|
Machine Translation (F32)
|
100% |
970
149.4 IPS |
|
|
Machine Translation (F16)
|
100% |
963
148.5 IPS |
