iPhone18,1
Geekbench AI Score
9050
Single Precision Score
16874
Half Precision Score
17390
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 09:52 PM |
| Views | 5 |
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 | 2.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4116
765.5 IPS |
|
|
Image Classification (HP)
|
100% |
8112
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7576
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6037
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9515
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10514
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20213
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53952
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58739
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4392
348.4 IPS |
|
|
Object Detection (HP)
|
100% |
8035
637.4 IPS |
|
|
Object Detection (Q)
|
93% |
8031
640.7 IPS |
|
|
Face Detection (SP)
|
100% |
11564
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
23101
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17588
209.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17810
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34957
269.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37731
294.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43665
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
95640
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119506
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18697
690.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22287
822.9 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6506
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5056
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5954
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5913
102.2 IPS |
