iPhone15,5
Geekbench ML Score
2221
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:15 PM |
| Views | 20 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone15,5 |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2964
317.6 IPS |
|
|
Image Classification (F16)
|
100% |
3257
349.0 IPS |
|
|
Image Classification (I8)
|
81% |
743
79.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6348
39.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8902
55.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1306
8.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
2585
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
5335
21.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
249
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
1812
63.6 IPS |
|
|
Object Detection (F16)
|
100% |
3584
125.8 IPS |
|
|
Object Detection (I8)
|
52% |
1044
36.6 IPS |
|
|
Face Detection (F32)
|
100% |
6242
71.7 IPS |
|
|
Face Detection (F16)
|
97% |
10087
115.9 IPS |
|
|
Face Detection (I8)
|
75% |
979
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
913
361.2 IPS |
|
|
Text Classification (F16)
|
100% |
1034
409.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2316
356.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2329
358.9 IPS |
