iPhone15,2
Geekbench ML Score
989
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 29 2022 10:30 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
835
89.5 IPS |
|
|
Image Classification (F16)
|
100% |
818
87.7 IPS |
|
|
Image Classification (I8)
|
81% |
471
50.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1256
7.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
1222
7.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
1473
9.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
459
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
453
1.83 IPS |
|
|
Pose Estimation (I8)
|
80% |
528
2.14 IPS |
|
|
Object Detection (F32)
|
100% |
1164
40.9 IPS |
|
|
Object Detection (F16)
|
100% |
1169
41.0 IPS |
|
|
Object Detection (I8)
|
52% |
760
26.7 IPS |
|
|
Face Detection (F32)
|
100% |
1501
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
1466
16.8 IPS |
|
|
Face Detection (I8)
|
75% |
860
9.88 IPS |
|
|
Text Classification (F32)
|
100% |
989
391.0 IPS |
|
|
Text Classification (F16)
|
100% |
1029
406.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2250
346.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2272
350.1 IPS |
