iPhone18,1
Geekbench AI Score
5061
Single Precision Score
8196
Half Precision Score
6474
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 10:19 PM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2321
431.6 IPS |
|
|
Image Classification (HP)
|
100% |
3715
690.9 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3408
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18339
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15491
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
97% |
4114
327.5 IPS |
|
|
Object Detection (Q)
|
94% |
2725
217.2 IPS |
|
|
Face Detection (SP)
|
100% |
4414
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
8163
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4156
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8385
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13812
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9690
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23861
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37492
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30537
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6742
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6312
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8925
154.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9612
166.1 IPS |
