iPhone 16 Pro
Geekbench AI Score
4659
Single Precision Score
7882
Half Precision Score
6241
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 03:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.3 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9315
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18372
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15491
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7608
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4215
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8189
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14242
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9892
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20434
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37973
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30705
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5109
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6102
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5921
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4308
74.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7433
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7490
129.4 IPS |
