iPhone18,2
Geekbench AI Score
9050
Single Precision Score
16327
Half Precision Score
16919
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bb_referee |
| Upload Date | October 14 2025 02:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4223
785.3 IPS |
|
|
Image Classification (HP)
|
100% |
7950
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7404
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5972
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9461
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10429
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20095
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53240
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57150
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
4376
347.1 IPS |
|
|
Object Detection (HP)
|
100% |
8109
643.2 IPS |
|
|
Object Detection (Q)
|
93% |
8033
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11630
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
22955
272.8 IPS |
|
|
Face Detection (Q)
|
100% |
17640
209.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17801
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35388
272.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38078
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43165
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93463
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
118920
153.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17944
662.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22048
814.1 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5112
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4738
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4837
83.6 IPS |
