iPhone 15
Geekbench ML Score
2023
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 24 2024 12:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1239
231.9 IPS |
|
|
Image Classification (F16)
|
100% |
1101
205.9 IPS |
|
|
Image Classification (I8)
|
99% |
1100
205.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
583
9.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
518
8.65 IPS |
|
|
Image Segmentation (I8)
|
100% |
504
8.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
5727
6.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
12102
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12063
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1228
91.7 IPS |
|
|
Object Detection (F16)
|
100% |
1244
92.9 IPS |
|
|
Object Detection (I8)
|
97% |
1255
93.7 IPS |
|
|
Face Detection (F32)
|
100% |
2258
26.9 IPS |
|
|
Face Detection (F16)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (I8)
|
99% |
1604
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3572
27.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
4419
34.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4421
34.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9988
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11998
15.8 IPS |
|
|
Style Transfer (I8)
|
100% |
13491
17.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2841
101.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2867
102.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2548
91.0 IPS |
|
|
Text Classification (F32)
|
100% |
1003
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
688
988.8 IPS |
|
|
Text Classification (I8)
|
96% |
830
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
791
14.6 IPS |
|
|
Machine Translation (F16)
|
99% |
861
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
671
12.4 IPS |
