iPhone 16 Pro
Geekbench AI Score
2041
Single Precision Score
14822
Half Precision Score
20180
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 09:23 AM |
| Views | 5 |
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% |
874
162.5 IPS |
|
|
Image Classification (HP)
|
100% |
7073
1.32 KIPS |
|
|
Image Classification (Q)
|
97% |
9507
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8895
144.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12033
195.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4493
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
59897
69.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119564
140.1 IPS |
|
|
Object Detection (SP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (HP)
|
100% |
7025
557.2 IPS |
|
|
Object Detection (Q)
|
91% |
9499
759.0 IPS |
|
|
Face Detection (SP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
16551
196.7 IPS |
|
|
Face Detection (Q)
|
100% |
22447
266.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3664
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40820
314.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
70309
549.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10470
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
104647
134.5 IPS |
|
|
Style Transfer (Q)
|
96% |
129583
167.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23694
874.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36095
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2587
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2568
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4463
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4548
78.6 IPS |
