iPhone 16 Pro
Geekbench AI Score
4677
Single Precision Score
33204
Half Precision Score
44917
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:18 PM |
| Views | 1 |
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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
14283
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
18729
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18068
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23665
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9668
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152434
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292069
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
15337
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
20944
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
40669
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
54078
642.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94251
726.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
151543
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
23396
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244943
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295595
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5563
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51743
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81512
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6067
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5992
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9161
157.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10422
180.1 IPS |
