iPhone 15
Geekbench AI Score
3416
Single Precision Score
5905
Half Precision Score
4763
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Peritus |
| Upload Date | December 02 2024 08:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.3 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6255
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
13694
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11523
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2824
224.8 IPS |
|
|
Object Detection (Q)
|
94% |
2001
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3324
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11805
91.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7781
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17252
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26525
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22222
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3591
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4593
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4685
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5801
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5791
100.1 IPS |
