iPhone18,1
Geekbench AI Score
5064
Single Precision Score
8231
Half Precision Score
6507
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 01:37 AM |
| Views | 5 |
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% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.1 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10294
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18220
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15860
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.4 IPS |
|
|
Object Detection (HP)
|
97% |
4071
324.1 IPS |
|
|
Object Detection (Q)
|
94% |
2763
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
4468
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8106
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8237
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13851
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9797
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24134
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37095
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30353
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6819
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4935
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6507
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6369
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5275
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9350
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9366
161.9 IPS |
