iPhone 15
Geekbench AI Score
3578
Single Precision Score
3726
Half Precision Score
3639
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 10:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1274
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
96% |
673
125.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2759
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11827
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12866
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12485
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (Q)
|
92% |
1302
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
4311
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8567
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8052
62.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8106
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21149
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23632
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22910
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3574
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3502
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4816
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4852
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
993
17.2 IPS |
