iPhone18,2
Geekbench AI Score
4794
Single Precision Score
10059
Half Precision Score
9304
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 05:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 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% |
4276
795.3 IPS |
|
|
Image Classification (HP)
|
100% |
7804
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
7132
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5317
86.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8407
136.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5743
93.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6821
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
18817
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20859
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
4397
348.8 IPS |
|
|
Object Detection (Q)
|
93% |
4635
369.8 IPS |
|
|
Face Detection (SP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
11853
140.8 IPS |
|
|
Face Detection (Q)
|
100% |
7113
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7121
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16999
131.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
18781
146.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14659
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44883
57.7 IPS |
|
|
Style Transfer (Q)
|
96% |
43254
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6743
249.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16506
609.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15560
574.6 IPS |
|
|
Text Classification (SP)
|
100% |
1953
2.61 KIPS |
|
|
Text Classification (HP)
|
99% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3538
61.1 IPS |
