iPhone 16 Pro
Geekbench AI Score
4711
Single Precision Score
7883
Half Precision Score
6289
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | July 25 2025 12:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
3472
645.7 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9521
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18923
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15813
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7324
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13807
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9731
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23044
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38921
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31421
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7231
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5149
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5890
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4192
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7752
133.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7692
132.9 IPS |
