iPhone15,2
Geekbench ML Score
2460
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 06:23 PM |
| Views | 1 |
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 | 3.44 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2870
307.5 IPS |
|
|
Image Classification (F16)
|
100% |
4378
469.1 IPS |
|
|
Image Classification (I8)
|
81% |
736
78.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5919
36.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8543
52.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1359
8.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
2223
9.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
4722
19.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
253
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
3494
122.6 IPS |
|
|
Object Detection (F16)
|
100% |
3564
125.1 IPS |
|
|
Object Detection (I8)
|
52% |
1044
36.7 IPS |
|
|
Face Detection (F32)
|
100% |
5241
60.2 IPS |
|
|
Face Detection (F16)
|
97% |
9066
104.2 IPS |
|
|
Face Detection (I8)
|
75% |
1020
11.7 IPS |
|
|
Text Classification (F32)
|
100% |
2171
858.5 IPS |
|
|
Text Classification (F16)
|
100% |
2409
952.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2206
340.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2186
336.9 IPS |
