iPhone18,2
Geekbench AI Score
5104
Single Precision Score
8310
Half Precision Score
6585
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | October 14 2025 08:30 AM |
| Views | 5 |
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% |
2317
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
3736
694.8 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10722
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18985
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16246
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
97% |
4124
328.3 IPS |
|
|
Object Detection (Q)
|
94% |
2857
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8440
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4416
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14104
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10004
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24620
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37286
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31017
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7011
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9281
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9454
163.4 IPS |
