iPhone18,2
Geekbench AI Score
5134
Single Precision Score
8366
Half Precision Score
6580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 07:03 PM |
| Views | 1 |
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% |
2353
437.6 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3003
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10459
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19215
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16235
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2815
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
8475
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4358
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14151
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9990
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24339
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37927
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31279
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5415
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6871
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
6503
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5300
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9357
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9487
164.0 IPS |
