iPhone 17 Pro * iPhone18,1
Geekbench AI Score
5078
Single Precision Score
8310
Half Precision Score
6512
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | October 07 2025 12:07 AM |
| Views | 6 |
| Notes | * App is not optimized for iPhone 17 Pro. |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3694
686.9 IPS |
|
|
Image Classification (Q)
|
96% |
2479
463.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10206
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18824
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15747
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
97% |
4091
325.7 IPS |
|
|
Object Detection (Q)
|
94% |
2772
220.9 IPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8216
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4244
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8364
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13993
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9882
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24279
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37842
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30590
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6927
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3600
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9437
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9360
161.8 IPS |
