iPhone18,2
Geekbench AI Score
9094
Single Precision Score
16537
Half Precision Score
17110
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:19 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% |
4247
789.7 IPS |
|
|
Image Classification (HP)
|
100% |
8107
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7539
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6049
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9501
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10622
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20252
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53923
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58865
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8036
637.4 IPS |
|
|
Object Detection (Q)
|
93% |
8035
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11548
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23092
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17693
210.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17973
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35549
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38242
298.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43551
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95592
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119932
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19045
703.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22316
824.0 IPS |
|
|
Text Classification (SP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6471
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6429
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4878
84.3 IPS |
