iPhone18,2
Geekbench AI Score
4993
Single Precision Score
8135
Half Precision Score
6437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 07:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
3614
672.0 IPS |
|
|
Image Classification (Q)
|
96% |
2442
456.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9614
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18048
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14954
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
97% |
4007
319.0 IPS |
|
|
Object Detection (Q)
|
94% |
2734
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8149
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4266
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8184
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13660
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9912
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23559
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36348
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30151
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6742
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6349
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6285
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9301
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9353
161.6 IPS |
