iPhone18,2
Geekbench AI Score
4389
Single Precision Score
31021
Half Precision Score
42009
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andrd |
| Upload Date | October 12 2025 08:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1898
353.0 IPS |
|
|
Image Classification (HP)
|
100% |
14995
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20327
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16646
269.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21642
350.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9010
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118217
137.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
221678
259.8 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.3 IPS |
|
|
Object Detection (HP)
|
100% |
16173
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
21862
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
32482
386.0 IPS |
|
|
Face Detection (Q)
|
100% |
42053
499.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7389
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89540
689.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
145843
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
21697
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
210526
270.6 IPS |
|
|
Style Transfer (Q)
|
96% |
292850
377.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51059
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76724
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5400
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4365
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10134
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10790
186.5 IPS |
