iPhone18,2
Geekbench AI Score
9106
Single Precision Score
16915
Half Precision Score
17553
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 03:01 AM |
| Views | 1 |
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% |
4258
791.8 IPS |
|
|
Image Classification (HP)
|
100% |
8015
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7472
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6075
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9567
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10540
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20312
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53981
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59223
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8135
645.3 IPS |
|
|
Object Detection (Q)
|
93% |
8111
647.1 IPS |
|
|
Face Detection (SP)
|
100% |
11839
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
23120
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17969
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18032
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35467
273.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38481
300.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43587
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95783
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120462
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10428
385.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18674
689.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22624
835.4 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6447
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6407
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4964
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6023
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6079
105.0 IPS |
