iPhone 13 Pro
Geekbench ML Score
956
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 04:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
784
84.0 IPS |
|
|
Image Classification (F16)
|
100% |
763
81.7 IPS |
|
|
Image Classification (I8)
|
81% |
455
48.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1157
7.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
1135
7.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
1439
8.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
441
1.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
431
1.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
497
2.01 IPS |
|
|
Object Detection (F32)
|
100% |
1112
39.0 IPS |
|
|
Object Detection (F16)
|
100% |
1112
39.0 IPS |
|
|
Object Detection (I8)
|
52% |
731
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
1361
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1330
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
848
9.74 IPS |
|
|
Text Classification (F32)
|
100% |
1243
491.8 IPS |
|
|
Text Classification (F16)
|
100% |
1317
521.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1984
305.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
303.7 IPS |
