iPhone 16 Pro
Geekbench AI Score
4751
Single Precision Score
33470
Half Precision Score
45131
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 04 2026 05:41 AM |
| Views | 18 |
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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
14125
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18518
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18041
292.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23784
385.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9551
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152414
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293443
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
15643
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21338
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3805
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
40415
480.2 IPS |
|
|
Face Detection (Q)
|
100% |
54337
645.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94432
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
151434
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
23945
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246048
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294268
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52713
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82491
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6174
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9502
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10423
180.1 IPS |
