iPhone 17 Pro iPhone18,1
Geekbench AI Score
4960
Single Precision Score
8108
Half Precision Score
6307
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | September 21 2025 04:12 AM |
| Views | 14 |
| Notes | iPhone 17 Pro/12GB/256GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
3635
676.0 IPS |
|
|
Image Classification (Q)
|
96% |
2455
458.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3292
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9678
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17827
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14804
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3996
318.1 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7988
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
3981
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8082
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13240
102.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9431
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23338
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36325
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29579
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5278
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6647
245.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4800
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6364
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9436
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9371
161.9 IPS |
