iPhone18,2
Geekbench AI Score
9131
Single Precision Score
16615
Half Precision Score
17165
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 11:00 PM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4283
796.4 IPS |
|
|
Image Classification (HP)
|
100% |
8011
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7412
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6099
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9597
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10550
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20321
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53716
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59457
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8125
648.2 IPS |
|
|
Face Detection (SP)
|
100% |
11641
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
23063
274.0 IPS |
|
|
Face Detection (Q)
|
100% |
17808
211.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18008
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35519
273.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38504
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43603
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
93655
120.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120033
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10523
388.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19460
718.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22553
832.8 IPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6535
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4933
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4897
84.6 IPS |
