iPhone18,1
Geekbench AI Score
9090
Single Precision Score
16526
Half Precision Score
17085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | existential |
| Upload Date | September 20 2025 05:04 PM |
| Views | 8 |
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% |
4265
793.2 IPS |
|
|
Image Classification (HP)
|
100% |
8072
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7440
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6018
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9485
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10514
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20123
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53358
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57761
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8047
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11793
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
23131
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18211
216.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17803
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35492
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37872
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43312
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93967
120.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119412
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10398
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18463
681.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22402
827.2 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6582
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6510
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4913
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4854
83.9 IPS |
