iPhone 16 Pro
Geekbench AI Score
5424
Single Precision Score
6364
Half Precision Score
5677
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 30 2025 06:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1693
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
1498
278.6 IPS |
|
|
Image Classification (Q)
|
96% |
909
169.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4159
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4770
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3682
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11231
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11798
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13648
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2710
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (Q)
|
92% |
3091
246.8 IPS |
|
|
Face Detection (SP)
|
100% |
7547
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
10721
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
8676
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13380
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15395
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13843
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31268
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39965
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39292
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7526
277.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8226
303.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6929
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
3805
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
6640
8.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6494
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1160
20.0 IPS |
