iPhone18,2
Geekbench AI Score
5010
Single Precision Score
35875
Half Precision Score
49131
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mrxoom1974 |
| Upload Date | September 20 2025 08:27 PM |
| Views | 3 |
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% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
16247
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21803
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19482
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24410
395.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9486
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148126
172.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275112
322.4 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
17806
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25747
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
40455
480.7 IPS |
|
|
Face Detection (Q)
|
100% |
53718
638.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8450
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104388
804.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171705
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24041
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
251811
323.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351509
453.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55965
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84564
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6376
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11019
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12438
214.9 IPS |
