iPhone 16 Pro
Geekbench AI Score
6187
Single Precision Score
7114
Half Precision Score
6877
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 14 2025 10:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2923
543.6 IPS |
|
|
Image Classification (HP)
|
100% |
2591
481.8 IPS |
|
|
Image Classification (Q)
|
96% |
3119
582.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4512
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4995
81.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4886
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15824
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17658
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17444
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3427
271.8 IPS |
|
|
Object Detection (HP)
|
100% |
3523
279.4 IPS |
|
|
Object Detection (Q)
|
92% |
3238
258.5 IPS |
|
|
Face Detection (SP)
|
100% |
7814
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
11082
131.7 IPS |
|
|
Face Detection (Q)
|
100% |
8778
104.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13669
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15275
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14288
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33397
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39216
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39025
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8139
300.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8289
306.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7611
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
