iPhone 13 Pro
Geekbench ML Score
1367
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 01:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1877
201.1 IPS |
|
|
Image Classification (F16)
|
100% |
1814
194.3 IPS |
|
|
Image Classification (I8)
|
81% |
296
31.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5735
35.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7714
47.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
542
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
1706
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
4164
16.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
1975
69.3 IPS |
|
|
Object Detection (F16)
|
100% |
2393
84.0 IPS |
|
|
Object Detection (I8)
|
52% |
422
14.8 IPS |
|
|
Face Detection (F32)
|
100% |
3557
40.9 IPS |
|
|
Face Detection (F16)
|
97% |
5489
63.1 IPS |
|
|
Face Detection (I8)
|
75% |
416
4.78 IPS |
|
|
Text Classification (F32)
|
100% |
927
366.6 IPS |
|
|
Text Classification (F16)
|
100% |
1570
621.1 IPS |
|
|
Machine Translation (F32)
|
100% |
959
147.9 IPS |
|
|
Machine Translation (F16)
|
100% |
959
147.8 IPS |
