iPhone 17 pro iPhone18,1
Geekbench AI Score
9105
Single Precision Score
16922
Half Precision Score
17520
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | November 16 2025 05:52 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4228
786.4 IPS |
|
|
Image Classification (HP)
|
100% |
8170
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7527
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10555
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20249
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53876
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59222
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8054
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11723
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
23100
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17952
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17912
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35456
273.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38303
299.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43530
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96321
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119525
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18764
692.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22462
829.4 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6390
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6488
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5116
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5989
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6006
103.8 IPS |
