iPhone15,3
Geekbench ML Score
3220
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 01:30 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7372
789.9 IPS |
|
|
Image Classification (F16)
|
100% |
7152
766.3 IPS |
|
|
Image Classification (I8)
|
81% |
746
79.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2377
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2498
15.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1326
8.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
26703
108.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
26157
105.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
256
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
8565
300.6 IPS |
|
|
Object Detection (F16)
|
100% |
8975
315.0 IPS |
|
|
Object Detection (I8)
|
52% |
1055
37.0 IPS |
|
|
Face Detection (F32)
|
100% |
10591
121.7 IPS |
|
|
Face Detection (F16)
|
100% |
10336
118.8 IPS |
|
|
Face Detection (I8)
|
75% |
1023
11.7 IPS |
|
|
Text Classification (F32)
|
100% |
1295
512.0 IPS |
|
|
Text Classification (F16)
|
100% |
1342
530.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2251
346.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2276
350.8 IPS |
