iPhone15,3
Geekbench ML Score
974
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 07:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
822
88.1 IPS |
|
|
Image Classification (F16)
|
100% |
806
86.4 IPS |
|
|
Image Classification (I8)
|
81% |
425
45.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1209
7.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
1191
7.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1423
8.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
433
1.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
510
2.06 IPS |
|
|
Object Detection (F32)
|
100% |
1162
40.8 IPS |
|
|
Object Detection (F16)
|
100% |
1180
41.4 IPS |
|
|
Object Detection (I8)
|
52% |
666
23.4 IPS |
|
|
Face Detection (F32)
|
100% |
1487
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1454
16.7 IPS |
|
|
Face Detection (I8)
|
75% |
829
9.52 IPS |
|
|
Text Classification (F32)
|
100% |
1187
469.6 IPS |
|
|
Text Classification (F16)
|
100% |
1089
430.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2261
348.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2282
351.7 IPS |
