iPhone14,7
Geekbench ML Score
2806
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5951
637.6 IPS |
|
|
Image Classification (F16)
|
100% |
5938
636.3 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2097
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2115
13.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1203
7.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
22606
91.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
23718
96.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
7503
263.3 IPS |
|
|
Object Detection (F16)
|
100% |
7533
264.3 IPS |
|
|
Object Detection (I8)
|
52% |
920
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
8709
100.1 IPS |
|
|
Face Detection (F16)
|
100% |
8677
99.7 IPS |
|
|
Face Detection (I8)
|
75% |
926
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1149
454.3 IPS |
|
|
Text Classification (F16)
|
100% |
1144
452.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2046
315.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2067
318.6 IPS |
