iPhone18,2
Geekbench AI Score
4822
Single Precision Score
7990
Half Precision Score
6283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gbuenoandrade |
| Upload Date | September 20 2025 05:59 AM |
| Views | 6 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2253
419.0 IPS |
|
|
Image Classification (HP)
|
100% |
3689
686.0 IPS |
|
|
Image Classification (Q)
|
96% |
2423
452.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9601
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17585
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14629
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
3919
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7857
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13175
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9348
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22741
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35659
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28943
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6714
247.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4735
174.8 IPS |
|
|
Text Classification (SP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6312
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6662
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4676
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8912
154.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9191
158.8 IPS |
