iPhone14,3
Geekbench ML Score
947
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
784
84.0 IPS |
|
|
Image Classification (F16)
|
100% |
764
81.9 IPS |
|
|
Image Classification (I8)
|
81% |
456
48.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1107
6.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
1099
6.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
1467
9.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
440
1.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
432
1.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
505
2.04 IPS |
|
|
Object Detection (F32)
|
100% |
1119
39.3 IPS |
|
|
Object Detection (F16)
|
100% |
1122
39.4 IPS |
|
|
Object Detection (I8)
|
52% |
749
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1352
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1321
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
862
9.90 IPS |
|
|
Text Classification (F32)
|
100% |
1132
447.6 IPS |
|
|
Text Classification (F16)
|
100% |
1183
468.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1988
306.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1986
306.1 IPS |
