iPhone18,2
Geekbench AI Score
5137
Single Precision Score
8365
Half Precision Score
6579
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:46 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.3 IPS |
|
|
Image Classification (HP)
|
100% |
3738
695.1 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3412
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10327
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18809
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15653
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.2 IPS |
|
|
Object Detection (HP)
|
97% |
4153
330.7 IPS |
|
|
Object Detection (Q)
|
94% |
2802
223.3 IPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8233
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4249
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8282
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13911
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9824
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24199
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38112
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31125
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5551
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6998
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
6818
9.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6767
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9064
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9288
160.5 IPS |
