iPhone 16 Pro
Geekbench AI Score
4643
Single Precision Score
7857
Half Precision Score
6253
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bigguswiggus |
| Upload Date | April 04 2025 03:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3344
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9336
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18643
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15560
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8148
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14410
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9950
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20296
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37624
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30342
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5483
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7245
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5228
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5891
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7459
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7441
128.6 IPS |
