iPhone18,2
Geekbench AI Score
5202
Single Precision Score
8444
Half Precision Score
6634
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | drich290195 |
| Upload Date | October 18 2025 12:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
3758
698.8 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10799
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19319
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16281
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
97% |
4170
332.0 IPS |
|
|
Object Detection (Q)
|
94% |
2858
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
4575
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4392
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8489
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14228
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10138
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24959
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38909
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31769
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6961
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6339
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6073
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9842
170.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9592
165.8 IPS |
