iPhone14,5
Geekbench ML Score
2710
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 16 2021 01:46 AM |
| Views | 33 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5772
618.4 IPS |
|
|
Image Classification (F16)
|
100% |
5783
619.7 IPS |
|
|
Image Classification (I8)
|
81% |
699
74.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2053
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2038
12.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1199
7.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
20695
83.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
20439
82.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
228
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
7174
251.8 IPS |
|
|
Object Detection (F16)
|
100% |
7276
255.3 IPS |
|
|
Object Detection (I8)
|
52% |
945
33.2 IPS |
|
|
Face Detection (F32)
|
100% |
7931
91.1 IPS |
|
|
Face Detection (F16)
|
100% |
7847
90.2 IPS |
|
|
Face Detection (I8)
|
75% |
906
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1189
470.3 IPS |
|
|
Text Classification (F16)
|
100% |
1157
457.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1980
305.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
303.8 IPS |
