iPhone15,3
Geekbench ML Score
980
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 10 2023 08:08 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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% |
823
88.1 IPS |
|
|
Image Classification (F16)
|
100% |
804
86.2 IPS |
|
|
Image Classification (I8)
|
81% |
486
52.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1195
7.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
1159
7.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
1489
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
453
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
448
1.81 IPS |
|
|
Pose Estimation (I8)
|
80% |
520
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
1140
40.0 IPS |
|
|
Object Detection (F16)
|
100% |
1145
40.2 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1462
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
1438
16.5 IPS |
|
|
Face Detection (I8)
|
75% |
861
9.89 IPS |
|
|
Text Classification (F32)
|
100% |
1008
398.8 IPS |
|
|
Text Classification (F16)
|
100% |
1052
416.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2268
349.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2255
347.6 IPS |
