iPhone 16 Pro
Geekbench AI Score
6127
Single Precision Score
7330
Half Precision Score
6995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 11:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2941
546.9 IPS |
|
|
Image Classification (HP)
|
100% |
2810
522.7 IPS |
|
|
Image Classification (Q)
|
96% |
3254
607.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4464
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5041
81.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4911
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15321
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18174
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17943
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
3260
258.6 IPS |
|
|
Object Detection (HP)
|
100% |
3831
303.8 IPS |
|
|
Object Detection (Q)
|
92% |
3315
264.6 IPS |
|
|
Face Detection (SP)
|
100% |
7921
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
11194
133.0 IPS |
|
|
Face Detection (Q)
|
100% |
9060
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13596
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16283
125.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
15094
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31622
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40142
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39687
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7330
270.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7877
290.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6982
257.8 IPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6136
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1278
22.1 IPS |
