iPhone18,1
Geekbench AI Score
5070
Single Precision Score
8299
Half Precision Score
6550
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
3635
676.0 IPS |
|
|
Image Classification (Q)
|
96% |
2451
457.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18801
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15944
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.8 IPS |
|
|
Object Detection (HP)
|
97% |
4116
327.7 IPS |
|
|
Object Detection (Q)
|
94% |
2765
220.4 IPS |
|
|
Face Detection (SP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8291
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4312
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8328
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14097
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9934
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24238
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37476
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30911
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5388
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6376
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9326
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9334
161.3 IPS |
