iPhone15,3
Geekbench ML Score
3220
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 30 2022 02:53 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7347
787.2 IPS |
|
|
Image Classification (F16)
|
100% |
7209
772.4 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2509
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2571
15.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1367
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
25435
102.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25785
104.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
9182
322.2 IPS |
|
|
Object Detection (F16)
|
100% |
9002
315.9 IPS |
|
|
Object Detection (I8)
|
52% |
1065
37.4 IPS |
|
|
Face Detection (F32)
|
100% |
10393
119.4 IPS |
|
|
Face Detection (F16)
|
100% |
10429
119.8 IPS |
|
|
Face Detection (I8)
|
75% |
1048
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
1217
481.5 IPS |
|
|
Text Classification (F16)
|
100% |
1220
482.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2262
348.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2265
349.0 IPS |
