iPhone 16 Pro
Geekbench AI Score
4661
Single Precision Score
31936
Half Precision Score
43821
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 12:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
15321
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20902
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18292
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24103
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9279
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152533
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292640
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
16268
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22696
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41191
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58002
689.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94951
731.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159895
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20604
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244718
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298574
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5540
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52014
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84364
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3094
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10069
173.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10798
186.6 IPS |
