iPhone14,7
Geekbench ML Score
890
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 09:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
755
80.9 IPS |
|
|
Image Classification (F16)
|
100% |
692
74.1 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1080
6.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1013
6.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1448
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
393
1.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
442
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
1004
35.2 IPS |
|
|
Object Detection (F16)
|
100% |
1010
35.5 IPS |
|
|
Object Detection (I8)
|
52% |
700
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
1254
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1229
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
842
9.67 IPS |
|
|
Text Classification (F32)
|
100% |
1023
404.6 IPS |
|
|
Text Classification (F16)
|
100% |
1001
395.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2094
322.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2077
320.1 IPS |
