iPhone18,1
Geekbench AI Score
9124
Single Precision Score
16618
Half Precision Score
17090
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xplo |
| Upload Date | September 20 2025 05:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4247
789.8 IPS |
|
|
Image Classification (HP)
|
100% |
8152
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7516
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6080
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9632
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10548
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20341
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53959
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58543
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
4393
348.4 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8056
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
11718
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
23110
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17878
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17967
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35383
272.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38592
301.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43884
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96378
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119851
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18888
697.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22361
825.7 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6582
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6458
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5223
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4793
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4762
82.3 IPS |
