iPhone 16 Pro
Geekbench AI Score
4798
Single Precision Score
33621
Half Precision Score
45710
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:40 PM |
| Views | 2 |
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% |
2055
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
14297
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
19222
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18114
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23706
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9572
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153065
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293681
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2368
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
15904
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21677
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
40091
476.4 IPS |
|
|
Face Detection (Q)
|
100% |
54013
641.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94661
729.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159119
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24099
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246123
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295665
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5910
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53400
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82834
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4303
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9531
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10539
182.1 IPS |
