iPhone15,5
Geekbench ML Score
1095
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:07 PM |
| Views | 16 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
872
93.4 IPS |
|
|
Image Classification (F16)
|
100% |
829
88.8 IPS |
|
|
Image Classification (I8)
|
81% |
483
51.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1186
7.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
1151
7.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
1476
9.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
433
1.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
423
1.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
486
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1182
41.5 IPS |
|
|
Object Detection (F16)
|
100% |
1197
42.0 IPS |
|
|
Object Detection (I8)
|
52% |
779
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1488
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1444
16.6 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
2558
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3154
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
2358
363.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2327
358.6 IPS |
