iPhone18,1
Geekbench AI Score
5089
Single Precision Score
8327
Half Precision Score
6535
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 18 2025 03:14 PM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3699
688.0 IPS |
|
|
Image Classification (Q)
|
96% |
2469
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3003
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10512
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19162
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16395
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.0 IPS |
|
|
Object Detection (HP)
|
97% |
4156
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2819
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8376
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4415
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14170
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10032
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24218
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37459
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31143
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5500
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7015
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4926
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6186
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5259
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9395
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9238
159.6 IPS |
