iPhone18,2
Geekbench AI Score
5155
Single Precision Score
8363
Half Precision Score
6622
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:03 AM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.0 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3441
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10652
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19049
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16395
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.1 IPS |
|
|
Object Detection (Q)
|
94% |
2836
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
4610
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8477
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4410
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14160
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10067
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24448
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37783
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31247
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4956
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6366
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6325
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5195
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9398
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9470
163.7 IPS |
