iPhone18,2
Geekbench AI Score
9142
Single Precision Score
16530
Half Precision Score
17170
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 07:57 PM |
| Views | 8 |
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% |
4295
798.7 IPS |
|
|
Image Classification (HP)
|
100% |
7957
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7679
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6071
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9590
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10565
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20353
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54086
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
58997
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8050
642.2 IPS |
|
|
Face Detection (SP)
|
100% |
11844
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
23092
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17962
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18017
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35453
273.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38781
302.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43534
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96350
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119710
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18694
690.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22391
826.8 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4768
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4828
83.4 IPS |
