iPhone 16 Pro
Geekbench AI Score
6022
Single Precision Score
7249
Half Precision Score
6746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | duck_mango1 |
| Upload Date | December 10 2025 04:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2849
529.9 IPS |
|
|
Image Classification (HP)
|
100% |
3222
599.1 IPS |
|
|
Image Classification (Q)
|
96% |
3124
583.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4739
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15181
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18090
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17273
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3093
245.4 IPS |
|
|
Object Detection (HP)
|
100% |
3374
267.6 IPS |
|
|
Object Detection (Q)
|
92% |
3150
251.4 IPS |
|
|
Face Detection (SP)
|
100% |
7561
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
10639
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
8451
100.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13014
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15504
119.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13906
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31595
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39299
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38828
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7585
280.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8246
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7085
261.6 IPS |
|
|
Text Classification (SP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6048
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1241
21.5 IPS |
