iPhone 15
Geekbench AI Score
3638
Single Precision Score
4129
Half Precision Score
3756
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 04 2025 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1135
211.0 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.8 IPS |
|
|
Image Classification (Q)
|
96% |
1124
209.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2788
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11795
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12947
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12414
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (Q)
|
92% |
1238
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
6405
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
3856
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8989
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9234
71.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8041
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21347
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24042
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23525
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3416
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4702
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
992
17.1 IPS |
