iPhone18,1
Geekbench AI Score
9161
Single Precision Score
17083
Half Precision Score
17624
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 05:58 AM |
| Views | 1 |
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% |
4315
802.5 IPS |
|
|
Image Classification (HP)
|
100% |
8059
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7551
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6137
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9640
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10594
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20468
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54395
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59375
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8114
643.6 IPS |
|
|
Object Detection (Q)
|
93% |
8131
648.7 IPS |
|
|
Face Detection (SP)
|
100% |
11970
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
23321
277.1 IPS |
|
|
Face Detection (Q)
|
100% |
18150
215.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18106
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35653
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39568
308.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43812
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96481
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119992
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10479
386.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19666
726.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22505
831.0 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6337
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6092
105.3 IPS |
