iPhone18,1
Geekbench AI Score
9047
Single Precision Score
16422
Half Precision Score
16949
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:54 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4233
787.3 IPS |
|
|
Image Classification (HP)
|
100% |
8007
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7395
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5982
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9433
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10506
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20115
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53093
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57720
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8096
642.2 IPS |
|
|
Object Detection (Q)
|
93% |
8035
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11650
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
23109
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17829
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35578
274.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38060
297.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43271
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93753
120.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118885
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19123
706.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22305
823.6 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5014
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4657
80.5 IPS |
