iPhone18,1
Geekbench AI Score
9115
Single Precision Score
16536
Half Precision Score
17119
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 07:03 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4269
793.9 IPS |
|
|
Image Classification (HP)
|
100% |
8182
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7412
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6109
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9625
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10524
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20384
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53949
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59236
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8064
643.3 IPS |
|
|
Face Detection (SP)
|
100% |
11701
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
23086
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18006
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35270
271.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38986
304.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43716
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95995
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120428
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18965
700.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22548
832.6 IPS |
|
|
Text Classification (SP)
|
100% |
3450
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6316
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6179
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5112
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4760
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4938
85.3 IPS |
