iPhone 13 Pro Max
Geekbench ML Score
961
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 11:09 AM |
| Views | 2 |
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% |
799
85.6 IPS |
|
|
Image Classification (F16)
|
100% |
780
83.6 IPS |
|
|
Image Classification (I8)
|
81% |
470
50.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1146
7.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
1122
6.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
1465
9.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
427
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
505
2.04 IPS |
|
|
Object Detection (F32)
|
100% |
1097
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
1113
39.1 IPS |
|
|
Object Detection (I8)
|
52% |
759
26.7 IPS |
|
|
Face Detection (F32)
|
100% |
1341
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1332
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
860
9.88 IPS |
|
|
Text Classification (F32)
|
100% |
1211
478.8 IPS |
|
|
Text Classification (F16)
|
100% |
1362
538.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1970
303.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1964
302.6 IPS |
