iPhone18,1
Geekbench AI Score
9081
Single Precision Score
16722
Half Precision Score
17277
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aleo |
| Upload Date | December 21 2025 11:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4261
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
7997
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7425
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6060
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9507
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10508
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20278
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53965
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58814
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4374
347.0 IPS |
|
|
Object Detection (HP)
|
100% |
7994
634.1 IPS |
|
|
Object Detection (Q)
|
93% |
8034
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11436
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
23122
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17692
210.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17866
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34721
267.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37869
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43295
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95839
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119383
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10421
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18800
694.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22407
827.4 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6018
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6013
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5106
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5989
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5967
103.1 IPS |
