iPhone18,2
Geekbench AI Score
5264
Single Precision Score
8500
Half Precision Score
6785
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 12:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
3784
703.8 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3046
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11215
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20370
23.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17368
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4240
337.5 IPS |
|
|
Object Detection (Q)
|
94% |
2929
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8531
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4629
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8707
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14701
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10374
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25144
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39766
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32856
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5446
93.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9357
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9695
167.5 IPS |
