iPhone18,2
Geekbench AI Score
9140
Single Precision Score
16540
Half Precision Score
17070
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:07 AM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4267
793.5 IPS |
|
|
Image Classification (HP)
|
100% |
8036
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7518
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6096
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9589
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10530
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20377
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53958
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58936
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8060
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
11668
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
23128
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17719
210.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18017
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35487
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38351
299.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43453
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96035
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119443
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18900
697.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22127
817.1 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6331
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6330
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4843
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4914
84.9 IPS |
