iPhone 15 (A2846) iPhone 15
Geekbench AI Score
3508
Single Precision Score
6173
Half Precision Score
5020
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | precisionxt |
| Upload Date | August 06 2025 03:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1438
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
2570
478.0 IPS |
|
|
Image Classification (Q)
|
96% |
1751
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2660
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6791
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15091
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12522
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2886
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6047
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3443
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6015
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11522
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8096
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17907
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29068
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23890
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3925
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4920
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6617
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6628
114.5 IPS |
