iPhone15,3
Geekbench ML Score
1003
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 11:16 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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% |
832
89.1 IPS |
|
|
Image Classification (F16)
|
100% |
819
87.7 IPS |
|
|
Image Classification (I8)
|
81% |
488
52.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1263
7.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1237
7.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1478
9.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
469
1.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
465
1.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
533
2.16 IPS |
|
|
Object Detection (F32)
|
100% |
1202
42.2 IPS |
|
|
Object Detection (F16)
|
100% |
1203
42.2 IPS |
|
|
Object Detection (I8)
|
52% |
783
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1512
17.4 IPS |
|
|
Face Detection (F16)
|
100% |
1481
17.0 IPS |
|
|
Face Detection (I8)
|
75% |
862
9.90 IPS |
|
|
Text Classification (F32)
|
100% |
1069
422.7 IPS |
|
|
Text Classification (F16)
|
100% |
983
388.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2269
349.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2278
351.0 IPS |
