iPhone18,2
Geekbench AI Score
5168
Single Precision Score
8430
Half Precision Score
6642
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ocarrera |
| Upload Date | November 02 2025 11:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
3803
707.3 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10790
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19804
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16780
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
97% |
4132
328.9 IPS |
|
|
Object Detection (Q)
|
94% |
2879
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8586
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4529
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14394
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10015
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24817
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39236
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32059
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5608
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7066
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6082
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9287
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9402
162.5 IPS |
