iPhone18,1
Geekbench AI Score
9138
Single Precision Score
16590
Half Precision Score
17156
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4307
800.9 IPS |
|
|
Image Classification (HP)
|
100% |
8069
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7539
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6120
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9638
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10639
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20448
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54338
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59824
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8073
644.1 IPS |
|
|
Face Detection (SP)
|
100% |
11837
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
23125
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18045
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18138
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35658
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38994
304.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43553
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96945
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119887
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10441
385.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19506
720.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22575
833.6 IPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6325
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6320
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5017
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4693
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4740
81.9 IPS |
