iPhone18,2
Geekbench AI Score
5206
Single Precision Score
8468
Half Precision Score
6702
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3741
695.7 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10911
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19825
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16866
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4175
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2905
231.5 IPS |
|
|
Face Detection (SP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8584
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4500
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14445
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10244
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25316
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39415
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32467
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5698
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7040
259.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6218
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6001
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9560
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9586
165.7 IPS |
