iPhone18,2
Geekbench AI Score
2648
Single Precision Score
20684
Half Precision Score
27790
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 05:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 2.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1093
203.2 IPS |
|
|
Image Classification (HP)
|
100% |
9324
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
13839
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11271
182.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13548
219.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6224
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
83702
97.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
155264
182.0 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
12355
980.0 IPS |
|
|
Object Detection (Q)
|
91% |
14258
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
2001
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
21763
258.6 IPS |
|
|
Face Detection (Q)
|
100% |
29279
347.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3756
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
60377
465.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110814
866.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14536
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152545
196.1 IPS |
|
|
Style Transfer (Q)
|
96% |
200584
258.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3103
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32018
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48160
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3780
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3678
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5438
93.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5742
99.2 IPS |
