iPhone18,2
Geekbench AI Score
9061
Single Precision Score
16528
Half Precision Score
17078
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Swanne |
| Upload Date | October 26 2025 08:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4203
781.6 IPS |
|
|
Image Classification (HP)
|
100% |
8015
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7353
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6114
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9645
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10563
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20466
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54384
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59651
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4411
349.9 IPS |
|
|
Object Detection (HP)
|
100% |
8111
643.4 IPS |
|
|
Object Detection (Q)
|
93% |
8042
641.6 IPS |
|
|
Face Detection (SP)
|
100% |
11762
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
23150
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
18277
217.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18034
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35291
271.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38593
301.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44378
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96536
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120929
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10436
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18773
693.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22463
829.5 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6039
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4897
84.6 IPS |
