iPhone15,2
Geekbench ML Score
2489
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 10:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2863
306.8 IPS |
|
|
Image Classification (F16)
|
100% |
4639
497.0 IPS |
|
|
Image Classification (I8)
|
81% |
723
77.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6277
38.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9161
56.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1281
7.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
2498
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
5223
21.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
247
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
3375
118.4 IPS |
|
|
Object Detection (F16)
|
100% |
5085
178.5 IPS |
|
|
Object Detection (I8)
|
52% |
1033
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
5910
67.9 IPS |
|
|
Face Detection (F16)
|
97% |
9996
114.8 IPS |
|
|
Face Detection (I8)
|
75% |
986
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
1667
659.4 IPS |
|
|
Text Classification (F16)
|
100% |
1564
618.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2332
359.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2349
362.0 IPS |
