iPhone18,2
Geekbench AI Score
9117
Single Precision Score
16524
Half Precision Score
17105
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 22 2025 01:43 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
7895
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7347
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6126
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9723
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10644
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20431
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54397
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59687
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4432
351.6 IPS |
|
|
Object Detection (HP)
|
100% |
8095
642.1 IPS |
|
|
Object Detection (Q)
|
93% |
8048
642.0 IPS |
|
|
Face Detection (SP)
|
100% |
11910
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
23178
275.4 IPS |
|
|
Face Detection (Q)
|
100% |
18404
218.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18117
139.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35730
275.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38881
303.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44361
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96624
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
121064
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18910
698.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22397
827.0 IPS |
|
|
Text Classification (SP)
|
100% |
3330
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6128
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6191
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
