iPhone18,2
Geekbench AI Score
5097
Single Precision Score
8298
Half Precision Score
6554
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
3788
704.5 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3404
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10207
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18825
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15885
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2552
202.5 IPS |
|
|
Object Detection (HP)
|
97% |
4142
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2795
222.8 IPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8313
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
4265
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13782
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9806
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24473
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37633
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31040
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6843
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6349
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6302
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5308
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9426
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9504
164.2 IPS |
