iPhone18,1
Geekbench AI Score
5210
Single Precision Score
8460
Half Precision Score
6700
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
3788
704.5 IPS |
|
|
Image Classification (Q)
|
96% |
2495
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3051
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3475
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10940
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19818
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16677
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2910
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14422
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10279
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25176
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39366
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32331
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5719
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5061
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6099
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6028
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5276
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9339
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9557
165.2 IPS |
