iPhone18,2
Geekbench AI Score
9115
Single Precision Score
16991
Half Precision Score
17508
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:41 AM |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4327
804.6 IPS |
|
|
Image Classification (HP)
|
100% |
8078
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7439
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6111
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9638
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10642
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20431
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54356
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59515
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8132
648.8 IPS |
|
|
Face Detection (SP)
|
100% |
11969
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
23374
277.7 IPS |
|
|
Face Detection (Q)
|
100% |
17966
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18001
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35755
275.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38866
303.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43956
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96502
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120382
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10426
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19254
711.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22565
833.2 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6294
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6265
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4874
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6000
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5947
102.8 IPS |
