iPhone 17 Pro iPhone18,1
Geekbench AI Score
5124
Single Precision Score
8386
Half Precision Score
6636
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 12:45 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.3 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3032
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10723
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19530
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16600
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
97% |
4157
330.9 IPS |
|
|
Object Detection (Q)
|
94% |
2906
231.6 IPS |
|
|
Face Detection (SP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8491
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4497
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14287
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10153
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24174
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37982
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31386
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5520
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7042
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6054
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6092
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9537
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9202
159.0 IPS |
