iPhone15,2
Geekbench ML Score
3286
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 10:58 PM |
| Views | 1 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7601
814.5 IPS |
|
|
Image Classification (F16)
|
100% |
7638
818.4 IPS |
|
|
Image Classification (I8)
|
81% |
716
76.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2310
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2301
14.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1149
7.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
25811
104.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
26948
109.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
9313
326.8 IPS |
|
|
Object Detection (F16)
|
100% |
9145
320.9 IPS |
|
|
Object Detection (I8)
|
52% |
1021
35.8 IPS |
|
|
Face Detection (F32)
|
100% |
11484
131.9 IPS |
|
|
Face Detection (F16)
|
100% |
11234
129.1 IPS |
|
|
Face Detection (I8)
|
75% |
979
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
1580
624.9 IPS |
|
|
Text Classification (F16)
|
100% |
1609
636.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2347
361.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2349
362.0 IPS |
