iPhone15,3
Geekbench ML Score
980
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 26 2023 05:18 PM |
| Views | 8 |
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 | 3.43 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% |
801
85.9 IPS |
|
|
Image Classification (F16)
|
100% |
776
83.2 IPS |
|
|
Image Classification (I8)
|
81% |
471
50.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1228
7.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1177
7.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
1487
9.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
455
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
448
1.81 IPS |
|
|
Pose Estimation (I8)
|
80% |
506
2.05 IPS |
|
|
Object Detection (F32)
|
100% |
1170
41.1 IPS |
|
|
Object Detection (F16)
|
100% |
1172
41.1 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1458
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
1432
16.5 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1041
411.7 IPS |
|
|
Text Classification (F16)
|
100% |
1064
420.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2275
350.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2278
351.1 IPS |
