iPhone18,2
Geekbench AI Score
8954
Single Precision Score
16540
Half Precision Score
17186
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 01:04 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4259
792.0 IPS |
|
|
Image Classification (HP)
|
100% |
7922
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7512
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5912
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9348
151.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10331
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19818
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
52580
61.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
56501
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
4348
344.9 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8032
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11551
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
22550
267.9 IPS |
|
|
Face Detection (Q)
|
100% |
17842
212.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17645
135.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34997
269.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37872
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42974
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93256
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117053
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10291
380.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17668
652.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21909
809.0 IPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6341
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5812
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5810
100.4 IPS |
