iPhone18,2
Geekbench AI Score
5086
Single Precision Score
8284
Half Precision Score
6572
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 04:00 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.5 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10365
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18866
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16137
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
4155
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2825
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8400
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4282
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13911
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9916
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24061
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37148
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30422
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6480
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5153
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8936
154.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9459
163.5 IPS |
