iPhone 16 Pro
Geekbench AI Score
4712
Single Precision Score
7948
Half Precision Score
6293
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.1 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9666
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19078
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15871
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2377
188.6 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7702
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4280
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14443
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10062
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20948
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37913
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31207
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4300
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7511
129.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7477
129.2 IPS |
