iPhone 16
Geekbench AI Score
4029
Single Precision Score
33439
Half Precision Score
44733
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 10:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
14933
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18119
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17901
290.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20756
336.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
133976
156.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291558
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
15849
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21815
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
40928
486.3 IPS |
|
|
Face Detection (Q)
|
100% |
52847
627.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6735
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94582
728.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
152411
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
16718
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
241486
310.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295906
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4540
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50337
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80445
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3797
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
6643
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6547
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9853
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10687
184.7 IPS |
