iPhone 13 Pro
Geekbench ML Score
945
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 05:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
795
85.2 IPS |
|
|
Image Classification (F16)
|
100% |
782
83.8 IPS |
|
|
Image Classification (I8)
|
81% |
446
47.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1136
7.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
1122
6.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
1453
8.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
439
1.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
433
1.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
501
2.03 IPS |
|
|
Object Detection (F32)
|
100% |
1114
39.1 IPS |
|
|
Object Detection (F16)
|
100% |
1119
39.3 IPS |
|
|
Object Detection (I8)
|
52% |
759
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1348
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1328
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
852
9.79 IPS |
|
|
Text Classification (F32)
|
100% |
1149
454.3 IPS |
|
|
Text Classification (F16)
|
100% |
1091
431.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1982
305.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1954
301.2 IPS |
