iPhone 15
Geekbench ML Score
3507
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 03:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1416
265.0 IPS |
|
|
Image Classification (F16)
|
100% |
1875
350.8 IPS |
|
|
Image Classification (I8)
|
99% |
1884
352.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
820
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5570
6.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
13852
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13946
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1421
106.1 IPS |
|
|
Object Detection (F16)
|
100% |
2007
149.9 IPS |
|
|
Object Detection (I8)
|
97% |
1434
107.1 IPS |
|
|
Face Detection (F32)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (F16)
|
97% |
4203
50.0 IPS |
|
|
Face Detection (I8)
|
97% |
4216
50.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5163
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8549
66.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8558
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17072
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26592
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26393
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4011
143.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5366
191.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5202
185.8 IPS |
|
|
Text Classification (F32)
|
100% |
2391
3.44 KIPS |
|
|
Text Classification (F16)
|
100% |
4047
5.82 KIPS |
|
|
Text Classification (I8)
|
96% |
4029
5.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1213
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1146
21.1 IPS |
