iPhone15,3
Geekbench ML Score
3172
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 10 2023 08:10 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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% |
7342
786.6 IPS |
|
|
Image Classification (F16)
|
100% |
7377
790.5 IPS |
|
|
Image Classification (I8)
|
81% |
740
79.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2321
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2371
14.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1316
8.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
25692
104.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25849
104.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
8572
300.8 IPS |
|
|
Object Detection (F16)
|
100% |
8513
298.8 IPS |
|
|
Object Detection (I8)
|
52% |
1052
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
10635
122.2 IPS |
|
|
Face Detection (F16)
|
100% |
10546
121.2 IPS |
|
|
Face Detection (I8)
|
75% |
1008
11.6 IPS |
|
|
Text Classification (F32)
|
100% |
1244
492.2 IPS |
|
|
Text Classification (F16)
|
100% |
1254
496.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2263
348.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2247
346.3 IPS |
