iPhone 16 Pro
Geekbench AI Score
4640
Single Precision Score
33595
Half Precision Score
45491
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
14780
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18554
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18070
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23571
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9144
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152518
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292704
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
15527
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21238
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3769
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
40463
480.8 IPS |
|
|
Face Detection (Q)
|
100% |
55461
659.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7999
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94281
726.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
156612
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
22115
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
247005
317.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296243
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5539
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52313
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82152
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3774
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6305
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9303
160.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10475
181.0 IPS |
