iPhone18,2
Geekbench AI Score
9010
Single Precision Score
16279
Half Precision Score
16832
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | September 28 2025 08:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4183
777.8 IPS |
|
|
Image Classification (HP)
|
100% |
8076
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7404
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5929
96.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9383
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19964
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
52797
61.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
57268
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
8116
643.8 IPS |
|
|
Object Detection (Q)
|
93% |
8027
640.4 IPS |
|
|
Face Detection (SP)
|
100% |
11548
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22508
267.4 IPS |
|
|
Face Detection (Q)
|
100% |
17680
210.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17686
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35050
270.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37928
296.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43101
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93367
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117706
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10338
381.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17842
658.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21949
810.5 IPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6342
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4757
82.2 IPS |
