iPhone 16 Pro
Geekbench AI Score
6092
Single Precision Score
7175
Half Precision Score
6845
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | August 17 2025 08:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2975
553.3 IPS |
|
|
Image Classification (HP)
|
100% |
2777
516.4 IPS |
|
|
Image Classification (Q)
|
96% |
3171
592.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4926
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4760
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15666
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17436
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17146
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3712
294.5 IPS |
|
|
Object Detection (Q)
|
92% |
3198
255.3 IPS |
|
|
Face Detection (SP)
|
100% |
7699
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
10979
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
8743
103.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13571
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15115
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14115
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33048
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39131
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38752
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8323
307.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7636
282.0 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1272
22.0 IPS |
