iPhone18,1
Geekbench AI Score
8873
Single Precision Score
16426
Half Precision Score
17088
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 10:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4179
777.2 IPS |
|
|
Image Classification (HP)
|
100% |
7970
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7479
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5864
95.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9286
150.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10116
164.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19698
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
52508
61.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56329
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
4244
336.7 IPS |
|
|
Object Detection (HP)
|
100% |
7959
631.3 IPS |
|
|
Object Detection (Q)
|
93% |
8038
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11515
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
22035
261.8 IPS |
|
|
Face Detection (Q)
|
100% |
17583
208.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17535
135.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34722
267.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37788
295.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42488
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93094
119.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116014
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10285
379.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17631
651.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21833
806.2 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6392
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6466
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5760
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5698
98.5 IPS |
