iPhone18,2
Geekbench AI Score
9010
Single Precision Score
16688
Half Precision Score
17293
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4241
788.7 IPS |
|
|
Image Classification (HP)
|
100% |
8001
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7401
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6023
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9489
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10535
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20179
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53304
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57619
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4399
349.0 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8057
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11534
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
22906
272.2 IPS |
|
|
Face Detection (Q)
|
100% |
17760
211.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17812
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35300
272.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37885
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43072
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93671
120.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119646
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18209
672.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22166
818.5 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5783
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5817
100.5 IPS |
