iPhone14,5
Geekbench ML Score
1857
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,5 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1710
183.2 IPS |
|
|
Image Classification (F16)
|
100% |
1387
148.6 IPS |
|
|
Image Classification (I8)
|
81% |
680
72.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5250
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7259
44.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1156
7.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
1773
7.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
4215
17.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
2224
78.1 IPS |
|
|
Object Detection (F16)
|
100% |
3038
106.6 IPS |
|
|
Object Detection (I8)
|
52% |
897
31.5 IPS |
|
|
Face Detection (F32)
|
100% |
4851
55.7 IPS |
|
|
Face Detection (F16)
|
97% |
5748
66.0 IPS |
|
|
Face Detection (I8)
|
75% |
869
9.98 IPS |
|
|
Text Classification (F32)
|
100% |
974
385.0 IPS |
|
|
Text Classification (F16)
|
100% |
2013
796.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1964
302.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1972
303.8 IPS |
