iPhone15,2
Geekbench ML Score
2556
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 11:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2993
320.7 IPS |
|
|
Image Classification (F16)
|
100% |
4576
490.3 IPS |
|
|
Image Classification (I8)
|
81% |
740
79.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6444
39.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9452
58.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1318
8.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
2420
9.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
5144
20.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
3286
115.3 IPS |
|
|
Object Detection (F16)
|
100% |
5075
178.1 IPS |
|
|
Object Detection (I8)
|
52% |
1056
37.1 IPS |
|
|
Face Detection (F32)
|
100% |
5951
68.4 IPS |
|
|
Face Detection (F16)
|
97% |
9993
114.8 IPS |
|
|
Face Detection (I8)
|
75% |
1010
11.6 IPS |
|
|
Text Classification (F32)
|
100% |
2029
802.7 IPS |
|
|
Text Classification (F16)
|
100% |
2023
800.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2227
343.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2227
343.2 IPS |
