iPhone 15
Geekbench AI Score
3414
Single Precision Score
6041
Half Precision Score
4875
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 02:58 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1742
325.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2647
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
13990
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11758
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2855
227.3 IPS |
|
|
Object Detection (Q)
|
94% |
2016
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5911
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3311
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11287
87.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7696
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16632
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28152
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22740
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3777
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3781
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4856
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4919
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6478
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6444
111.4 IPS |
