iPhone15,3
Geekbench ML Score
3319
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 05 2023 12:50 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| 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% |
7664
821.1 IPS |
|
|
Image Classification (F16)
|
100% |
7894
845.8 IPS |
|
|
Image Classification (I8)
|
81% |
746
79.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2420
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2241
13.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1294
8.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
26215
106.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
26463
107.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
259
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
8824
309.7 IPS |
|
|
Object Detection (F16)
|
100% |
8897
312.2 IPS |
|
|
Object Detection (I8)
|
52% |
1068
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
10741
123.4 IPS |
|
|
Face Detection (F16)
|
100% |
10969
126.0 IPS |
|
|
Face Detection (I8)
|
75% |
1034
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
1556
615.3 IPS |
|
|
Text Classification (F16)
|
100% |
1549
612.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2370
365.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2394
368.9 IPS |
