iPhone18,2
Geekbench AI Score
2758
Single Precision Score
4777
Half Precision Score
3727
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 03:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.22 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.2 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.2 IPS |
|
|
Image Classification (Q)
|
96% |
1300
242.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1962
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6269
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
11193
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9525
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2333
185.7 IPS |
|
|
Object Detection (Q)
|
94% |
1449
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
2251
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
2314
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5042
38.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8259
63.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5711
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10394
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21840
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
17892
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3389
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2933
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3728
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4882
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5701
98.5 IPS |
