iPhone 13 Pro Max
Geekbench ML Score
899
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 09:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
742
79.5 IPS |
|
|
Image Classification (F16)
|
100% |
709
76.0 IPS |
|
|
Image Classification (I8)
|
81% |
459
49.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1062
6.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
955
5.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
1486
9.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
399
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
473
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
1019
35.7 IPS |
|
|
Object Detection (F16)
|
100% |
1037
36.4 IPS |
|
|
Object Detection (I8)
|
52% |
751
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1282
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1252
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
1053
416.3 IPS |
|
|
Text Classification (F16)
|
100% |
1060
419.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2047
315.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2046
315.3 IPS |
