iPhone 15
Geekbench AI Score
3429
Single Precision Score
6005
Half Precision Score
4822
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | samusko14 |
| Upload Date | March 01 2025 09:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.4 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2702
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14115
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11911
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2894
230.4 IPS |
|
|
Object Detection (Q)
|
94% |
2035
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6068
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3403
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5775
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11873
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7991
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17447
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27028
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22593
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4654
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4563
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5787
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5844
101.0 IPS |
