iPhone18,1
Geekbench AI Score
9126
Single Precision Score
16939
Half Precision Score
17494
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:00 PM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4314
802.2 IPS |
|
|
Image Classification (HP)
|
100% |
8051
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7454
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6073
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9538
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10542
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20253
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53963
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58780
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8067
643.6 IPS |
|
|
Face Detection (SP)
|
100% |
11823
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23151
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17988
213.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17966
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35613
274.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38891
303.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43726
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96131
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119698
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10514
388.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19210
709.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22448
828.9 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6432
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6396
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4955
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5935
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5993
103.6 IPS |
