iPhone 13 Pro Max
Geekbench ML Score
868
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:54 PM |
| Views | 1 |
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% |
778
83.3 IPS |
|
|
Image Classification (F16)
|
100% |
758
81.2 IPS |
|
|
Image Classification (I8)
|
81% |
459
49.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1109
6.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1100
6.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
1506
9.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
336
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
333
1.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
431
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
1058
37.1 IPS |
|
|
Object Detection (F16)
|
100% |
1059
37.2 IPS |
|
|
Object Detection (I8)
|
52% |
744
26.1 IPS |
|
|
Face Detection (F32)
|
100% |
1300
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1282
14.7 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.85 IPS |
|
|
Text Classification (F32)
|
100% |
812
321.3 IPS |
|
|
Text Classification (F16)
|
100% |
757
299.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1968
303.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1983
305.6 IPS |
