iPhone18,2
Geekbench AI Score
9152
Single Precision Score
16551
Half Precision Score
17039
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 08:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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
795.1 IPS |
|
|
Image Classification (HP)
|
100% |
8032
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7407
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6097
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9638
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10552
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20481
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
53934
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59452
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8033
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11879
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
23124
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18060
214.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18094
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35448
273.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38895
303.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44369
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95982
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119460
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10525
388.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19283
712.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22400
827.1 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6457
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6347
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4927
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4668
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4633
80.1 IPS |
