iPhone18,2
Geekbench AI Score
9056
Single Precision Score
16851
Half Precision Score
17363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:23 AM |
| Views | 4 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4269
794.0 IPS |
|
|
Image Classification (HP)
|
100% |
7974
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7483
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6001
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9467
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20089
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53392
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57979
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
8140
645.6 IPS |
|
|
Object Detection (Q)
|
93% |
8052
642.4 IPS |
|
|
Face Detection (SP)
|
100% |
11804
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
23127
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17975
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17844
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35508
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38166
298.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43328
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94455
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112996
145.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10392
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19151
707.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22195
819.5 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6471
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6649
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5854
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5960
103.0 IPS |
