iPhone18,2
Geekbench AI Score
9109
Single Precision Score
16681
Half Precision Score
17146
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4275
795.1 IPS |
|
|
Image Classification (HP)
|
100% |
8019
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7505
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9545
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10577
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20361
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54105
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59302
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8057
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
11791
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
23114
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18067
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35760
275.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38896
303.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43654
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96045
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120260
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20726
765.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22325
824.4 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6602
8.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6682
8.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4928
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4593
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4620
79.8 IPS |
