iPhone18,2
Geekbench AI Score
4922
Single Precision Score
8011
Half Precision Score
6346
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 08:06 PM |
| Views | 1 |
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 | 4.19 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
2830
526.4 IPS |
|
|
Image Classification (Q)
|
96% |
2121
396.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3213
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9433
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17538
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15380
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
4110
327.2 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4394
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
8190
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4140
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13880
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9778
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23648
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37744
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31074
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4958
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6348
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9378
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9393
162.3 IPS |
