iPhone 15
Geekbench AI Score
3267
Single Precision Score
6068
Half Precision Score
4912
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 11:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.7 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5839
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13758
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11743
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2898
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5890
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3295
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5470
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11394
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7800
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16335
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27231
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22438
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5075
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3791
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6855
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6788
117.3 IPS |
