iPhone 16 Pro
Geekbench AI Score
6091
Single Precision Score
7222
Half Precision Score
6761
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3023
562.2 IPS |
|
|
Image Classification (HP)
|
100% |
3055
568.1 IPS |
|
|
Image Classification (Q)
|
96% |
3162
590.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4918
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4738
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15159
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17722
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17004
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3138
248.9 IPS |
|
|
Object Detection (HP)
|
100% |
3414
270.8 IPS |
|
|
Object Detection (Q)
|
92% |
3193
254.8 IPS |
|
|
Face Detection (SP)
|
100% |
7529
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
10592
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
8269
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13036
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15553
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14277
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31005
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38679
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38968
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7591
280.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8192
302.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7157
264.3 IPS |
|
|
Text Classification (SP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1230
21.3 IPS |
