iPhone 17 Pro iPhone18,1
Geekbench AI Score
9132
Single Precision Score
16520
Half Precision Score
17161
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | September 21 2025 07:36 AM |
| Views | 10 |
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% |
4213
783.5 IPS |
|
|
Image Classification (HP)
|
100% |
8049
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7627
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6076
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9523
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10562
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20332
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53974
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59165
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8107
643.0 IPS |
|
|
Object Detection (Q)
|
93% |
8044
641.7 IPS |
|
|
Face Detection (SP)
|
100% |
11850
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
23117
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18057
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35538
273.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38656
301.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43704
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96294
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120296
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18780
693.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22401
827.2 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4833
83.5 IPS |
