iPhone15,3
Geekbench ML Score
685
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 02:15 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.42 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% |
440
47.1 IPS |
|
|
Image Classification (F16)
|
100% |
454
48.7 IPS |
|
|
Image Classification (I8)
|
81% |
767
82.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
607
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
614
3.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
1340
8.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
319
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
304
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
392
1.58 IPS |
|
|
Object Detection (F32)
|
100% |
689
24.2 IPS |
|
|
Object Detection (F16)
|
100% |
692
24.3 IPS |
|
|
Object Detection (I8)
|
52% |
1158
40.6 IPS |
|
|
Face Detection (F32)
|
100% |
877
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
874
10.0 IPS |
|
|
Face Detection (I8)
|
75% |
793
9.11 IPS |
|
|
Text Classification (F32)
|
100% |
913
361.3 IPS |
|
|
Text Classification (F16)
|
100% |
888
351.3 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
987
152.2 IPS |
