iPhone15,3
Geekbench ML Score
997
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 03:30 AM |
| Views | 4 |
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 | 3.44 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% |
806
86.4 IPS |
|
|
Image Classification (F16)
|
100% |
788
84.4 IPS |
|
|
Image Classification (I8)
|
81% |
483
51.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1274
7.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
1228
7.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
1479
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% |
1186
41.6 IPS |
|
|
Object Detection (F16)
|
100% |
1187
41.6 IPS |
|
|
Object Detection (I8)
|
52% |
770
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1503
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1485
17.1 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.85 IPS |
|
|
Text Classification (F32)
|
100% |
1061
419.6 IPS |
|
|
Text Classification (F16)
|
100% |
1038
410.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2245
346.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2252
347.0 IPS |
