iPhone18,2
Geekbench AI Score
9084
Single Precision Score
16934
Half Precision Score
17516
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 07:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4260
792.2 IPS |
|
|
Image Classification (HP)
|
100% |
8154
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7539
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6016
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10565
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20284
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53966
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58837
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8045
641.8 IPS |
|
|
Face Detection (SP)
|
100% |
11905
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17971
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17963
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35469
273.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38603
301.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43494
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96056
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119614
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18991
701.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22633
835.7 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6369
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6420
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4948
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5994
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5982
103.4 IPS |
