iPhone18,2
Geekbench AI Score
9171
Single Precision Score
16535
Half Precision Score
17146
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 07:35 PM |
| Views | 1 |
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% |
4298
799.3 IPS |
|
|
Image Classification (HP)
|
100% |
7975
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7434
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6111
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9621
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20434
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54357
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59255
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8074
644.1 IPS |
|
|
Face Detection (SP)
|
100% |
11797
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
23114
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18089
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35643
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38968
304.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44046
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96024
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120358
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18939
699.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22586
834.0 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6347
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4773
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4873
84.2 IPS |
