iPhone 16 Pro
Geekbench AI Score
4116
Single Precision Score
5316
Half Precision Score
5217
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 14 2026 02:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4.1 |
| 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% |
3127
581.5 IPS |
|
|
Image Classification (HP)
|
100% |
3158
587.2 IPS |
|
|
Image Classification (Q)
|
96% |
3227
602.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4317
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4952
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3961
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5787
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
7234
8.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
7882
9.23 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (Q)
|
91% |
2090
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8405
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
9182
109.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7504
57.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7319
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14376
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22425
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23304
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6615
244.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5967
220.3 IPS |
|
|
Text Classification (SP)
|
99% |
3811
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5992
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6037
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
