iPhone18,1
Geekbench AI Score
9114
Single Precision Score
16598
Half Precision Score
17122
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 27 2025 01:16 PM |
| Views | 5 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4262
792.6 IPS |
|
|
Image Classification (HP)
|
100% |
7966
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7482
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6098
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9596
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10603
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20479
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54155
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59716
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8084
641.3 IPS |
|
|
Object Detection (Q)
|
93% |
8034
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11762
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
23151
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
18270
217.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17989
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35663
274.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38764
302.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43819
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96385
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120100
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10421
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19068
704.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22432
828.3 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6467
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4835
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4684
80.9 IPS |
