iPhone18,1
Geekbench AI Score
5203
Single Precision Score
8429
Half Precision Score
6691
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 06:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
3796
705.9 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3075
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3507
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19800
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16855
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4219
335.9 IPS |
|
|
Object Detection (Q)
|
94% |
2900
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
4653
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8551
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4557
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14371
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10228
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25278
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39358
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32230
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6997
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9373
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9407
162.6 IPS |
