iPhone15,3
Geekbench ML Score
1011
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 09:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
834
89.3 IPS |
|
|
Image Classification (F16)
|
100% |
840
90.0 IPS |
|
|
Image Classification (I8)
|
81% |
475
50.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1276
7.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
1265
7.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1506
9.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
487
1.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
484
1.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
548
2.22 IPS |
|
|
Object Detection (F32)
|
100% |
1213
42.6 IPS |
|
|
Object Detection (F16)
|
100% |
1223
42.9 IPS |
|
|
Object Detection (I8)
|
52% |
774
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1531
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
1512
17.4 IPS |
|
|
Face Detection (I8)
|
75% |
859
9.87 IPS |
|
|
Text Classification (F32)
|
100% |
990
391.7 IPS |
|
|
Text Classification (F16)
|
100% |
1035
409.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2257
347.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2252
347.0 IPS |
