iPhone 16 Pro
Geekbench AI Score
4486
Single Precision Score
33506
Half Precision Score
44656
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 12 2026 06:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
14721
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18799
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18057
292.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23074
374.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8072
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
144315
168.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
247260
289.8 IPS |
|
|
Object Detection (SP)
|
100% |
2128
168.8 IPS |
|
|
Object Detection (HP)
|
100% |
15952
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21693
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
40466
480.8 IPS |
|
|
Face Detection (Q)
|
100% |
54762
650.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8230
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94444
727.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159655
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21946
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245822
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
290185
374.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52808
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81246
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6281
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9354
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10546
182.2 IPS |
