iPhone 16 Plus
Geekbench AI Score
4466
Single Precision Score
33605
Half Precision Score
44953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
14751
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18726
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18137
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23512
381.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8711
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
148493
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294735
345.4 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
15681
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21317
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39617
470.7 IPS |
|
|
Face Detection (Q)
|
100% |
50316
597.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7893
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94449
727.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
149410
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20012
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
242869
312.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296377
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52956
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80903
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6279
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6274
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9759
168.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10773
186.2 IPS |
