iPhone18,2
Geekbench AI Score
9133
Single Precision Score
16517
Half Precision Score
17084
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 05:48 PM |
| Views | 1 |
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% |
4261
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
8067
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7405
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6076
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10590
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20427
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54107
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59170
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8082
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8070
643.8 IPS |
|
|
Face Detection (SP)
|
100% |
11712
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
23018
273.5 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18022
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35500
273.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
39087
305.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43669
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96393
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119671
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18951
699.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22468
829.6 IPS |
|
|
Text Classification (SP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6390
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6329
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
