iPhone18,2
Geekbench AI Score
5074
Single Precision Score
8247
Half Precision Score
6465
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2249
418.3 IPS |
|
|
Image Classification (HP)
|
100% |
3637
676.4 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3397
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18230
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15673
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
97% |
4127
328.5 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
4517
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8470
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4302
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14162
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9935
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24017
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37500
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30769
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5415
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6952
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6168
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5417
93.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9233
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9101
157.3 IPS |
