iPhone18,2
Geekbench AI Score
5111
Single Precision Score
8226
Half Precision Score
6490
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 08:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 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% |
3640
676.9 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10327
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18663
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15808
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
4136
329.3 IPS |
|
|
Object Detection (Q)
|
94% |
2756
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
8156
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4253
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14014
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9635
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24303
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37270
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30604
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5481
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4880
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6353
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6291
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5403
93.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9293
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9494
164.1 IPS |
