iPhone15,3
Geekbench ML Score
1125
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 04 2023 08:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
869
93.1 IPS |
|
|
Image Classification (F16)
|
100% |
840
90.0 IPS |
|
|
Image Classification (I8)
|
81% |
457
49.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1235
7.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
1203
7.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1498
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
454
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
505
2.04 IPS |
|
|
Object Detection (F32)
|
100% |
1217
42.7 IPS |
|
|
Object Detection (F16)
|
100% |
1204
42.3 IPS |
|
|
Object Detection (I8)
|
52% |
768
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1554
17.9 IPS |
|
|
Face Detection (F16)
|
100% |
1542
17.7 IPS |
|
|
Face Detection (I8)
|
75% |
863
9.91 IPS |
|
|
Text Classification (F32)
|
100% |
3114
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
3117
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2346
361.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2327
358.6 IPS |
