iPhone18,2
Geekbench AI Score
9170
Single Precision Score
16604
Half Precision Score
17145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | September 20 2025 11:49 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4252
790.7 IPS |
|
|
Image Classification (HP)
|
100% |
8032
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7412
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6126
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9632
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10620
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20463
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54306
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59584
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8041
641.5 IPS |
|
|
Face Detection (SP)
|
100% |
11661
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
23111
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17808
211.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18105
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35687
274.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38902
303.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43812
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96297
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120878
156.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10475
386.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19100
705.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22501
830.9 IPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6373
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5226
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4870
84.2 IPS |
