iPhone18,1
Geekbench AI Score
9023
Single Precision Score
16433
Half Precision Score
16944
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 01:12 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4239
788.3 IPS |
|
|
Image Classification (HP)
|
100% |
8168
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7535
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6064
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9562
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10534
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20326
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53995
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59040
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11571
137.5 IPS |
|
|
Face Detection (HP)
|
100% |
23135
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
18034
214.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17945
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35618
274.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37851
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43542
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96154
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
120127
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18460
681.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22424
828.0 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5984
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4757
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4709
81.4 IPS |
