iPhone 17 Pro * iPhone18,1
Geekbench AI Score
9045
Single Precision Score
16286
Half Precision Score
16895
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | October 07 2025 12:12 AM |
| Views | 5 |
| Notes | * App is not optimized for iPhone 17 Pro. |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4209
782.7 IPS |
|
|
Image Classification (HP)
|
100% |
7973
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7500
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5961
96.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9415
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10429
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19943
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53073
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57504
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4380
347.5 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8017
639.6 IPS |
|
|
Face Detection (SP)
|
100% |
11525
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
22656
269.2 IPS |
|
|
Face Detection (Q)
|
100% |
17597
209.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17776
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35242
271.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37589
293.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43039
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93302
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117706
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10397
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17849
659.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22028
813.4 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6505
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6465
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4741
81.9 IPS |
