iPhone15,2
Geekbench ML Score
1007
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 01:38 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.40 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
852
91.3 IPS |
|
|
Image Classification (F16)
|
100% |
829
88.8 IPS |
|
|
Image Classification (I8)
|
81% |
462
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1253
7.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
1258
7.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1497
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
467
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
468
1.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
562
2.28 IPS |
|
|
Object Detection (F32)
|
100% |
1208
42.4 IPS |
|
|
Object Detection (F16)
|
100% |
1200
42.1 IPS |
|
|
Object Detection (I8)
|
52% |
716
25.1 IPS |
|
|
Face Detection (F32)
|
100% |
1528
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
1512
17.4 IPS |
|
|
Face Detection (I8)
|
75% |
860
9.89 IPS |
|
|
Text Classification (F32)
|
100% |
1030
407.3 IPS |
|
|
Text Classification (F16)
|
100% |
1130
447.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2261
348.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2231
343.8 IPS |
