iPhone14,8
Geekbench ML Score
930
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 30 2023 02:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| Model | iPhone14,8 |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
778
83.4 IPS |
|
|
Image Classification (F16)
|
100% |
764
81.9 IPS |
|
|
Image Classification (I8)
|
81% |
465
49.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1138
7.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
1081
6.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
1442
8.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
423
1.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
414
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
485
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1094
38.4 IPS |
|
|
Object Detection (F16)
|
100% |
1101
38.6 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1331
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1327
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
859
9.87 IPS |
|
|
Text Classification (F32)
|
100% |
975
385.8 IPS |
|
|
Text Classification (F16)
|
100% |
1059
419.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2045
315.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2057
317.1 IPS |
