iPhone18,1
Geekbench AI Score
9033
Single Precision Score
16649
Half Precision Score
17158
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 06:36 PM |
| Views | 1 |
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% |
4280
795.9 IPS |
|
|
Image Classification (HP)
|
100% |
7928
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7403
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5944
96.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9467
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10348
167.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19975
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53084
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57013
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
4339
344.2 IPS |
|
|
Object Detection (HP)
|
100% |
8109
643.2 IPS |
|
|
Object Detection (Q)
|
93% |
8027
640.3 IPS |
|
|
Face Detection (SP)
|
100% |
11443
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
22928
272.4 IPS |
|
|
Face Detection (Q)
|
100% |
17667
209.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17699
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34659
267.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37162
290.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43203
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93423
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
118127
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17826
658.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21941
810.2 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6540
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6398
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5064
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5854
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5795
100.1 IPS |
