iPhone18,2
Geekbench AI Score
9132
Single Precision Score
16932
Half Precision Score
17465
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | November 25 2025 08:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4270
794.1 IPS |
|
|
Image Classification (HP)
|
100% |
8186
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6121
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9624
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10592
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20440
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54019
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59930
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8127
644.7 IPS |
|
|
Object Detection (Q)
|
93% |
8053
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11718
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
23144
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
17927
213.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18099
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35638
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38656
301.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44086
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96371
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120847
156.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10441
385.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19363
715.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22467
829.6 IPS |
|
|
Text Classification (SP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6047
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6020
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6030
104.2 IPS |
