iPhone15,3
Geekbench ML Score
1150
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 11 2023 08:45 AM |
| 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% |
912
97.7 IPS |
|
|
Image Classification (F16)
|
100% |
891
95.5 IPS |
|
|
Image Classification (I8)
|
81% |
452
48.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1306
8.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
1271
7.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
1500
9.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
476
1.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
470
1.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
537
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
1266
44.4 IPS |
|
|
Object Detection (F16)
|
100% |
1297
45.5 IPS |
|
|
Object Detection (I8)
|
52% |
718
25.2 IPS |
|
|
Face Detection (F32)
|
100% |
1607
18.5 IPS |
|
|
Face Detection (F16)
|
100% |
1614
18.5 IPS |
|
|
Face Detection (I8)
|
75% |
860
9.88 IPS |
|
|
Text Classification (F32)
|
100% |
3051
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
2939
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2348
361.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2360
363.8 IPS |
