iPhone 16 Pro
Geekbench AI Score
4689
Single Precision Score
33653
Half Precision Score
45443
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 20 2025 06:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
14718
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18534
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18094
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23808
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9407
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151706
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292813
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
15693
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21710
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
40416
480.2 IPS |
|
|
Face Detection (Q)
|
100% |
53849
639.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95257
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
158225
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
22955
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245588
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296595
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51847
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80450
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6369
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4171
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9415
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10466
180.9 IPS |
