iPhone18,2
Geekbench AI Score
5079
Single Precision Score
8307
Half Precision Score
6534
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LulzSec |
| Upload Date | December 03 2025 06:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.8 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2958
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18668
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15773
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
97% |
4073
324.2 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
4389
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
8226
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4223
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8381
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14098
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9813
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24185
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37571
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30903
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5507
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4926
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6687
8.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6429
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5196
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9289
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9447
163.3 IPS |
