iPhone15,3
Geekbench ML Score
686
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 09:37 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.41 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
420
45.0 IPS |
|
|
Image Classification (F16)
|
100% |
419
44.9 IPS |
|
|
Image Classification (I8)
|
81% |
890
95.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
604
3.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
605
3.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
1394
8.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
227
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
303
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
391
1.58 IPS |
|
|
Object Detection (F32)
|
100% |
680
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
669
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
1056
37.1 IPS |
|
|
Face Detection (F32)
|
100% |
851
9.78 IPS |
|
|
Face Detection (F16)
|
100% |
782
8.98 IPS |
|
|
Face Detection (I8)
|
75% |
1097
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
1043
412.7 IPS |
|
|
Text Classification (F16)
|
100% |
1025
405.5 IPS |
|
|
Machine Translation (F32)
|
100% |
988
152.3 IPS |
|
|
Machine Translation (F16)
|
100% |
985
151.9 IPS |
