iPhone18,2
Geekbench AI Score
5055
Single Precision Score
8270
Half Precision Score
6547
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 05:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
3683
684.8 IPS |
|
|
Image Classification (Q)
|
96% |
2459
459.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10402
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18779
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15850
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
4084
325.2 IPS |
|
|
Object Detection (Q)
|
94% |
2801
223.3 IPS |
|
|
Face Detection (SP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8284
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
4257
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13909
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9769
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23892
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36872
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30845
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6847
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4840
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6526
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9236
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9696
167.6 IPS |
