iPhone18,2
Geekbench AI Score
8884
Single Precision Score
16368
Half Precision Score
17062
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:39 AM |
| Views | 2 |
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% |
4286
797.0 IPS |
|
|
Image Classification (HP)
|
100% |
7973
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7659
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9582
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10582
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20295
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53910
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58762
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8039
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
11757
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
23125
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17951
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16689
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35195
271.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38799
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43343
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
97617
125.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119100
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9690
357.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19548
721.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22026
813.3 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6298
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6715
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4453
76.9 IPS |
