iPhone18,2
Geekbench AI Score
5097
Single Precision Score
36069
Half Precision Score
49618
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 06:42 PM |
| Views | 12 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
16053
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22218
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19958
323.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25632
415.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10251
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
155267
181.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
285164
334.2 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
17839
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25647
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
40461
480.8 IPS |
|
|
Face Detection (Q)
|
100% |
54220
644.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105025
809.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170328
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24249
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
257830
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
347357
448.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5451
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56939
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84691
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5944
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11326
195.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12431
214.8 IPS |
