iPhone 16 Pro
Geekbench AI Score
4151
Single Precision Score
7324
Half Precision Score
5884
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 12:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1820
338.5 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.9 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3100
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6767
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15150
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13626
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
97% |
3476
276.7 IPS |
|
|
Object Detection (Q)
|
94% |
2511
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6485
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3748
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7560
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12877
99.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9074
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19634
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34773
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28665
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6287
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6085
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6932
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6935
119.8 IPS |
