iPhone 13 Pro Max
Geekbench ML Score
938
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | Daffi |
| Upload Date | November 03 2021 04:31 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
777
83.2 IPS |
|
|
Image Classification (F16)
|
100% |
762
81.7 IPS |
|
|
Image Classification (I8)
|
81% |
460
49.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1129
6.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
1096
6.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1441
8.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
426
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
418
1.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
488
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
1087
38.2 IPS |
|
|
Object Detection (F16)
|
100% |
1086
38.1 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1312
15.1 IPS |
|
|
Face Detection (F16)
|
100% |
1296
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1226
484.8 IPS |
|
|
Text Classification (F16)
|
100% |
1144
452.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1985
305.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1973
304.0 IPS |
