iPhone15,4
Geekbench ML Score
1095
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:07 PM |
| Views | 33 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone15,4 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
901
96.6 IPS |
|
|
Image Classification (F16)
|
100% |
847
90.8 IPS |
|
|
Image Classification (I8)
|
81% |
478
51.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1199
7.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
1130
6.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
1482
9.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
426
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
413
1.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
474
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
1140
40.0 IPS |
|
|
Object Detection (F16)
|
100% |
1157
40.6 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1460
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
1418
16.3 IPS |
|
|
Face Detection (I8)
|
75% |
850
9.77 IPS |
|
|
Text Classification (F32)
|
100% |
3015
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
3087
1.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
2358
363.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2362
364.0 IPS |
