iPhone15,3
Geekbench ML Score
2535
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 01:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2846
304.9 IPS |
|
|
Image Classification (F16)
|
100% |
4585
491.2 IPS |
|
|
Image Classification (I8)
|
81% |
742
79.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6103
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9142
56.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1359
8.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
2488
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
5197
21.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
3381
118.6 IPS |
|
|
Object Detection (F16)
|
100% |
3399
119.3 IPS |
|
|
Object Detection (I8)
|
52% |
1064
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
5802
66.7 IPS |
|
|
Face Detection (F16)
|
97% |
9883
113.5 IPS |
|
|
Face Detection (I8)
|
75% |
1042
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
2113
835.8 IPS |
|
|
Text Classification (F16)
|
100% |
2251
890.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2357
363.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2368
365.0 IPS |
