iPhone15,2
Geekbench ML Score
1033
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 01:33 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
870
93.2 IPS |
|
|
Image Classification (F16)
|
100% |
832
89.2 IPS |
|
|
Image Classification (I8)
|
81% |
470
50.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1256
7.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
1239
7.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1489
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
473
1.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
416
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
535
2.16 IPS |
|
|
Object Detection (F32)
|
100% |
1245
43.7 IPS |
|
|
Object Detection (F16)
|
100% |
1240
43.5 IPS |
|
|
Object Detection (I8)
|
52% |
739
25.9 IPS |
|
|
Face Detection (F32)
|
100% |
1510
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1507
17.3 IPS |
|
|
Face Detection (I8)
|
75% |
865
9.94 IPS |
|
|
Text Classification (F32)
|
100% |
1451
573.8 IPS |
|
|
Text Classification (F16)
|
100% |
1345
531.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2255
347.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2263
348.7 IPS |
