iPhone 16 Pro
Geekbench AI Score
3737
Single Precision Score
4684
Half Precision Score
4055
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 12 2026 04:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
869
161.6 IPS |
|
|
Image Classification (HP)
|
100% |
946
176.0 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3220
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3670
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6614
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
8081
9.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
7923
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (Q)
|
91% |
1783
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
5592
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
7749
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
7040
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6772
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7904
60.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7505
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15269
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22604
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24064
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6847
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3042
112.3 IPS |
|
|
Text Classification (SP)
|
99% |
3824
5.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.7 IPS |
