iPhone 16 Pro
Geekbench AI Score
4725
Single Precision Score
33440
Half Precision Score
44843
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 01:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
14023
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
18380
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18134
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23808
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9410
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152509
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293801
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2371
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
15522
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21168
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
40545
481.8 IPS |
|
|
Face Detection (Q)
|
100% |
54534
648.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8342
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94200
725.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
147777
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
23045
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245752
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294139
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5821
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52085
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80103
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6243
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9517
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10456
180.7 IPS |
