iPhone18,2
Geekbench AI Score
4984
Single Precision Score
8144
Half Precision Score
6396
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:17 AM |
| Views | 10 |
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% |
2293
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
3694
687.0 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10154
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17920
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15487
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
97% |
4119
327.9 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
8155
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4089
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7912
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13938
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9343
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23682
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36642
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30037
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5371
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6881
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6370
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5187
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8729
150.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9304
160.8 IPS |
