iPhone18,2
Geekbench AI Score
4949
Single Precision Score
8252
Half Precision Score
6471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9706
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18376
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15413
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
97% |
4052
322.6 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
8217
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4194
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8000
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13498
104.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9821
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23879
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37534
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30712
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5373
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4915
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6437
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6353
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9378
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9404
162.5 IPS |
