iPhone15,3
Geekbench ML Score
999
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 09 2022 04:48 PM |
| Views | 98 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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% |
817
87.5 IPS |
|
|
Image Classification (F16)
|
100% |
809
86.7 IPS |
|
|
Image Classification (I8)
|
81% |
488
52.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1271
7.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1242
7.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1496
9.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
466
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
461
1.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
527
2.13 IPS |
|
|
Object Detection (F32)
|
100% |
1207
42.4 IPS |
|
|
Object Detection (F16)
|
100% |
1198
42.0 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1487
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1460
16.8 IPS |
|
|
Face Detection (I8)
|
75% |
859
9.87 IPS |
|
|
Text Classification (F32)
|
100% |
1077
425.8 IPS |
|
|
Text Classification (F16)
|
100% |
1016
402.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2239
345.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2256
347.8 IPS |
