iPhone 15
Geekbench AI Score
3495
Single Precision Score
6044
Half Precision Score
4901
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 01:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.7 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2709
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6784
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
14665
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12494
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6020
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12036
93.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8194
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18015
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27910
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23515
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4002
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4639
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4621
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6040
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5785
100.0 IPS |
