iPhone18,1
Geekbench AI Score
5016
Single Precision Score
8123
Half Precision Score
6431
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (HP)
|
100% |
3673
683.1 IPS |
|
|
Image Classification (Q)
|
96% |
2407
449.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3362
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10335
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18550
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15791
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
4050
322.5 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
8214
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4170
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8188
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13682
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9481
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23422
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36514
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29732
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5321
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6333
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6434
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8710
150.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9582
165.6 IPS |
