iPhone15,3
Geekbench ML Score
980
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 02:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
839
89.9 IPS |
|
|
Image Classification (F16)
|
100% |
822
88.1 IPS |
|
|
Image Classification (I8)
|
81% |
425
45.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1246
7.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1238
7.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1453
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
447
1.81 IPS |
|
|
Pose Estimation (I8)
|
80% |
519
2.10 IPS |
|
|
Object Detection (F32)
|
100% |
1180
41.4 IPS |
|
|
Object Detection (F16)
|
100% |
1182
41.5 IPS |
|
|
Object Detection (I8)
|
52% |
700
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
1505
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1463
16.8 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
1054
416.7 IPS |
|
|
Text Classification (F16)
|
100% |
1010
399.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2275
350.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2270
349.8 IPS |
