iPhone15,2
Geekbench ML Score
3338
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 08:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.1 |
| 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% |
7532
807.0 IPS |
|
|
Image Classification (F16)
|
100% |
7727
827.9 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2400
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2398
14.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1365
8.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
26343
106.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
26849
108.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
8457
296.8 IPS |
|
|
Object Detection (F16)
|
100% |
8444
296.3 IPS |
|
|
Object Detection (I8)
|
52% |
1070
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
11332
130.2 IPS |
|
|
Face Detection (F16)
|
100% |
10897
125.2 IPS |
|
|
Face Detection (I8)
|
75% |
1047
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
1595
630.8 IPS |
|
|
Text Classification (F16)
|
100% |
1615
638.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2356
363.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2372
365.5 IPS |
