iPhone14,7
Geekbench ML Score
936
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.3 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
798
85.5 IPS |
|
|
Image Classification (F16)
|
100% |
761
81.5 IPS |
|
|
Image Classification (I8)
|
81% |
457
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1159
7.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
1133
7.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
1463
9.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
432
1.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
425
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
491
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
1097
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
1093
38.4 IPS |
|
|
Object Detection (I8)
|
52% |
751
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1366
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1352
15.5 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.75 IPS |
|
|
Text Classification (F32)
|
100% |
998
394.9 IPS |
|
|
Text Classification (F16)
|
100% |
1023
404.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2032
313.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2023
311.8 IPS |
