iPhone 16 Pro
Geekbench AI Score
6084
Single Precision Score
7135
Half Precision Score
6789
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 05:37 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% |
3048
566.8 IPS |
|
|
Image Classification (HP)
|
100% |
2745
510.4 IPS |
|
|
Image Classification (Q)
|
96% |
3191
595.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4962
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4768
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15194
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17846
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17034
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3157
250.4 IPS |
|
|
Object Detection (HP)
|
100% |
3403
269.9 IPS |
|
|
Object Detection (Q)
|
92% |
3211
256.3 IPS |
|
|
Face Detection (SP)
|
100% |
7487
89.0 IPS |
|
|
Face Detection (HP)
|
100% |
10457
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8310
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13047
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15090
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14021
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31266
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39393
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38977
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7578
279.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8254
304.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7025
259.4 IPS |
|
|
Text Classification (SP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6292
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6264
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
