iPhone18,1
Geekbench AI Score
8643
Single Precision Score
16235
Half Precision Score
16887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | neilco |
| Upload Date | September 20 2025 07:11 AM |
| Views | 5 |
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% |
4213
783.4 IPS |
|
|
Image Classification (HP)
|
100% |
8099
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7622
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6038
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9509
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10553
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20243
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53441
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58626
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
4295
340.7 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
7986
637.1 IPS |
|
|
Face Detection (SP)
|
100% |
11496
136.6 IPS |
|
|
Face Detection (HP)
|
100% |
22535
267.8 IPS |
|
|
Face Detection (Q)
|
100% |
17373
206.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16553
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35333
272.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37517
292.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43596
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94375
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119836
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10442
385.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19530
721.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21677
800.4 IPS |
|
|
Text Classification (SP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6051
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6646
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4798
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4453
76.9 IPS |
