iPhone 16 Pro
Geekbench AI Score
4659
Single Precision Score
33811
Half Precision Score
45908
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | acceleramota |
| Upload Date | July 18 2025 08:47 PM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
14061
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
17706
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18127
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23920
387.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9554
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
141296
164.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292085
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
16032
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21665
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
40188
477.5 IPS |
|
|
Face Detection (Q)
|
100% |
54832
651.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8239
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95654
737.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
153112
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
23358
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245550
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
293961
379.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52309
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79008
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6119
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11248
193.7 IPS |
|
|
Machine Translation (Q)
|
98% |
13004
224.7 IPS |
