iPhone18,1
Geekbench AI Score
9048
Single Precision Score
16449
Half Precision Score
17072
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pixelcort |
| Upload Date | September 28 2025 03:52 AM |
| Views | 6 |
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% |
4257
791.7 IPS |
|
|
Image Classification (HP)
|
100% |
8087
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7520
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6029
97.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9525
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10524
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20127
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53325
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57630
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8050
642.2 IPS |
|
|
Face Detection (SP)
|
100% |
11728
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
23107
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17874
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35451
273.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38393
299.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43162
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94507
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118701
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10420
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19263
711.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22412
827.6 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6287
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6513
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4797
82.9 IPS |
