iPhone18,2
Geekbench AI Score
4983
Single Precision Score
35976
Half Precision Score
49379
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | October 04 2025 11:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
16359
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
21681
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20125
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24707
400.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9849
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
149658
174.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
276059
323.6 IPS |
|
|
Object Detection (SP)
|
100% |
2555
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
17306
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25798
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
40909
486.1 IPS |
|
|
Face Detection (Q)
|
100% |
56191
667.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8317
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103565
797.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167471
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23161
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
252227
324.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350093
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56629
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84018
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6513
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10891
187.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12533
216.6 IPS |
