iPhone14,5
Geekbench ML Score
1814
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,5 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 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% |
1593
170.6 IPS |
|
|
Image Classification (F16)
|
100% |
2646
283.5 IPS |
|
|
Image Classification (I8)
|
81% |
681
73.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5085
31.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7126
44.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1140
7.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
1764
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
4198
17.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
216
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
1565
54.9 IPS |
|
|
Object Detection (F16)
|
100% |
3032
106.4 IPS |
|
|
Object Detection (I8)
|
52% |
891
31.3 IPS |
|
|
Face Detection (F32)
|
100% |
4833
55.5 IPS |
|
|
Face Detection (F16)
|
97% |
5805
66.7 IPS |
|
|
Face Detection (I8)
|
75% |
864
9.92 IPS |
|
|
Text Classification (F32)
|
100% |
984
389.1 IPS |
|
|
Text Classification (F16)
|
100% |
1096
433.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1979
305.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1981
305.3 IPS |
