iPhone18,2
Geekbench AI Score
4992
Single Precision Score
8112
Half Precision Score
6334
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
3616
672.4 IPS |
|
|
Image Classification (Q)
|
96% |
2430
453.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9758
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18266
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15402
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (HP)
|
97% |
3964
315.6 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7995
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4061
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8236
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13589
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9476
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23544
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36380
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29686
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9228
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9067
156.7 IPS |
