iPhone15,3
Geekbench ML Score
3359
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 08:12 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 | 3.45 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7661
820.9 IPS |
|
|
Image Classification (F16)
|
100% |
7540
807.9 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2503
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2436
15.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1367
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
25991
105.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
27266
110.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
8588
301.4 IPS |
|
|
Object Detection (F16)
|
100% |
9030
316.9 IPS |
|
|
Object Detection (I8)
|
52% |
1068
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
11083
127.3 IPS |
|
|
Face Detection (F16)
|
100% |
11280
129.6 IPS |
|
|
Face Detection (I8)
|
75% |
1050
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
1576
623.2 IPS |
|
|
Text Classification (F16)
|
100% |
1591
629.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2359
363.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2368
365.0 IPS |
