iPhone15,2
Geekbench ML Score
1156
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 12:09 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
905
97.0 IPS |
|
|
Image Classification (F16)
|
100% |
880
94.3 IPS |
|
|
Image Classification (I8)
|
81% |
475
50.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1283
7.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1266
7.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1488
9.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
480
1.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
471
1.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
533
2.16 IPS |
|
|
Object Detection (F32)
|
100% |
1264
44.4 IPS |
|
|
Object Detection (F16)
|
100% |
1281
44.9 IPS |
|
|
Object Detection (I8)
|
52% |
779
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1596
18.3 IPS |
|
|
Face Detection (F16)
|
100% |
1588
18.2 IPS |
|
|
Face Detection (I8)
|
75% |
843
9.68 IPS |
|
|
Text Classification (F32)
|
100% |
3008
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
3105
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2410
371.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2370
365.2 IPS |
