iPhone18,2
Geekbench AI Score
5108
Single Precision Score
35527
Half Precision Score
48100
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | uch |
| Upload Date | October 09 2025 01:31 PM |
| Views | 5 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
15657
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21567
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20318
329.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25547
414.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10406
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159216
185.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
287616
337.1 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
17281
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24200
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4610
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
40443
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
53717
638.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8359
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103938
800.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164921
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24509
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258919
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
349066
450.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5530
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57440
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83643
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5723
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5725
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5195
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10230
176.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11675
201.8 IPS |
