iPhone18,1
Geekbench AI Score
9070
Single Precision Score
16514
Half Precision Score
17012
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4273
794.7 IPS |
|
|
Image Classification (HP)
|
100% |
8002
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7415
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6119
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9707
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10604
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20437
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54288
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59795
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8018
639.7 IPS |
|
|
Face Detection (SP)
|
100% |
11833
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
23116
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
18382
218.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18088
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35638
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38711
302.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44401
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96364
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120633
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10437
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19136
706.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22293
823.2 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5981
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
