iPhone18,2
Geekbench AI Score
9143
Single Precision Score
17042
Half Precision Score
17633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 12:45 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4303
800.2 IPS |
|
|
Image Classification (HP)
|
100% |
8082
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7496
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6120
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9642
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10643
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20463
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54476
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59479
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8130
648.6 IPS |
|
|
Face Detection (SP)
|
100% |
11826
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23337
277.3 IPS |
|
|
Face Detection (Q)
|
100% |
18128
215.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18194
140.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35947
277.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39471
308.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43659
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96714
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
120815
155.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10424
384.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19168
707.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22589
834.1 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6328
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4984
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6098
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6096
105.3 IPS |
