iPhone15,3
Geekbench ML Score
3201
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 19 2023 03:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4 |
| 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% |
7388
791.5 IPS |
|
|
Image Classification (F16)
|
100% |
7402
793.1 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2484
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2456
15.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1366
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
26133
105.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25149
101.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
8666
304.1 IPS |
|
|
Object Detection (F16)
|
100% |
8388
294.4 IPS |
|
|
Object Detection (I8)
|
52% |
1068
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
10398
119.5 IPS |
|
|
Face Detection (F16)
|
100% |
10541
121.1 IPS |
|
|
Face Detection (I8)
|
75% |
1048
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
1240
490.4 IPS |
|
|
Text Classification (F16)
|
100% |
1244
492.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2238
344.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2254
347.4 IPS |
