iPhone18,1
Geekbench AI Score
8959
Single Precision Score
16514
Half Precision Score
17103
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 07:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4224
785.6 IPS |
|
|
Image Classification (HP)
|
100% |
7891
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7400
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5893
95.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9256
150.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10238
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19857
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
52810
61.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
56595
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
4341
344.4 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8012
639.2 IPS |
|
|
Face Detection (SP)
|
100% |
11320
134.5 IPS |
|
|
Face Detection (HP)
|
100% |
22549
267.9 IPS |
|
|
Face Detection (Q)
|
100% |
17405
206.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17594
135.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34935
269.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37383
291.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42919
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93385
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116980
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10295
380.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17566
648.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22219
820.4 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6456
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6404
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5807
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5757
99.5 IPS |
