iPhone18,1
Geekbench AI Score
5106
Single Precision Score
8296
Half Precision Score
6586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 05:05 PM |
| Views | 2 |
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% |
2323
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.5 IPS |
|
|
Image Classification (Q)
|
96% |
2459
459.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10582
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19019
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16226
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
4159
331.1 IPS |
|
|
Object Detection (Q)
|
94% |
2875
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8470
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4530
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14227
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10084
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24463
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37562
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31036
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5513
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6009
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9174
158.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9224
159.4 IPS |
