iPhone 17 Pro iPhone18,1
Geekbench AI Score
9008
Single Precision Score
16302
Half Precision Score
16867
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | September 21 2025 04:21 AM |
| Views | 9 |
| Notes | iPhone 17 Pro/12GB/256GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4251
790.6 IPS |
|
|
Image Classification (HP)
|
100% |
8046
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7483
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6009
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9490
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20102
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53053
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57603
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4381
347.5 IPS |
|
|
Object Detection (HP)
|
100% |
8082
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11650
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
22885
271.9 IPS |
|
|
Face Detection (Q)
|
100% |
17818
211.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17895
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35249
271.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38267
298.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42929
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95311
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119041
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10395
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19150
707.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22485
830.3 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6327
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6340
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4785
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4453
77.0 IPS |
