iPhone18,2
Geekbench AI Score
5102
Single Precision Score
36058
Half Precision Score
49955
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 08:10 PM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2228
414.4 IPS |
|
|
Image Classification (HP)
|
100% |
16099
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22771
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19965
323.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25764
417.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9942
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
157188
183.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297250
348.4 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
17302
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25305
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
40581
482.2 IPS |
|
|
Face Detection (Q)
|
100% |
54970
653.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104630
806.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
173565
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24865
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
258761
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352885
455.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5563
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56444
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85076
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6391
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6391
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10725
184.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11981
207.0 IPS |
