iPhone18,1
Geekbench AI Score
5201
Single Precision Score
8447
Half Precision Score
6659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 02:56 AM |
| Views | 2 |
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% |
2350
437.0 IPS |
|
|
Image Classification (HP)
|
100% |
3766
700.4 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10663
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19409
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16346
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2838
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4363
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14172
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10009
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24773
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38926
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31617
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5683
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6941
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6502
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6507
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9333
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9522
164.6 IPS |
