iPhone 16 Pro
Geekbench AI Score
4638
Single Precision Score
7865
Half Precision Score
6249
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jpadilla |
| Upload Date | May 04 2025 08:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2083
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9351
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18536
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15474
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2332
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3934
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7562
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4185
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7998
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14236
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9895
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20299
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37899
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30798
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5477
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7388
272.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5159
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4288
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7467
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7496
129.5 IPS |
