iPhone18,2
Geekbench AI Score
4245
Single Precision Score
7025
Half Precision Score
4380
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:24 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2100
392.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2635
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2154
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5908
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
16646
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13433
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
97% |
3444
274.2 IPS |
|
|
Object Detection (Q)
|
94% |
2311
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6383
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3509
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6848
52.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
11756
90.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6522
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18675
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27853
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24628
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6502
240.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4926
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
727
975.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4693
80.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8702
150.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9386
162.2 IPS |
