iPhone 16 Pro
Geekbench AI Score
4817
Single Precision Score
33438
Half Precision Score
44940
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | November 04 2025 10:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
14258
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18052
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18108
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23674
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9903
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153263
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292954
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
15836
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21328
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3842
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
40217
477.9 IPS |
|
|
Face Detection (Q)
|
100% |
52392
622.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8400
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94756
730.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
154079
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
24089
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245773
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294213
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51415
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81646
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6188
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6190
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4327
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9361
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10485
181.2 IPS |
