iPhone18,2
Geekbench AI Score
5121
Single Precision Score
8354
Half Precision Score
6575
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Jeffnt326 |
| Upload Date | October 25 2025 03:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2346
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
3786
704.1 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10500
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19029
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16047
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
97% |
4169
331.9 IPS |
|
|
Object Detection (Q)
|
94% |
2855
227.6 IPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8430
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4424
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8445
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14245
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10118
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24908
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38665
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31686
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5592
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6992
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5932
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9320
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9375
162.0 IPS |
