iPhone18,1
Geekbench AI Score
9090
Single Precision Score
16874
Half Precision Score
17506
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | huebs |
| Upload Date | December 21 2025 08:56 AM |
| Views | 3 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4298
799.3 IPS |
|
|
Image Classification (HP)
|
100% |
8055
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7442
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6076
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9557
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10482
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20190
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53436
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58478
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8103
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8060
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
11774
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
23097
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
18046
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17960
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35546
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38815
303.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43212
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96468
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119410
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18870
696.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22496
830.7 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6507
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5857
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6007
103.8 IPS |
