iPhone18,2
Geekbench AI Score
8618
Single Precision Score
16290
Half Precision Score
16712
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4291
798.0 IPS |
|
|
Image Classification (HP)
|
100% |
8055
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7457
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6028
97.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9499
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10434
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20096
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53171
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57501
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4370
346.6 IPS |
|
|
Object Detection (HP)
|
100% |
8146
646.2 IPS |
|
|
Object Detection (Q)
|
93% |
7992
637.6 IPS |
|
|
Face Detection (SP)
|
100% |
11417
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
23123
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17522
208.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16470
126.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35276
271.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37732
294.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39686
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
79176
101.8 IPS |
|
|
Style Transfer (Q)
|
96% |
93400
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8596
317.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19152
707.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21150
781.0 IPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6362
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5720
98.9 IPS |
