iPhone18,1
Geekbench AI Score
8997
Single Precision Score
16392
Half Precision Score
17037
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4134
768.8 IPS |
|
|
Image Classification (HP)
|
100% |
7432
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6927
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6088
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9582
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10569
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20338
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53983
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59212
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
7921
628.3 IPS |
|
|
Object Detection (Q)
|
93% |
7981
636.7 IPS |
|
|
Face Detection (SP)
|
100% |
11944
141.9 IPS |
|
|
Face Detection (HP)
|
100% |
23081
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
17947
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18055
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35187
271.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38751
302.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44053
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94821
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119455
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18037
666.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21662
799.9 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6147
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6150
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4565
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5389
92.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5383
93.0 IPS |
