iPhone18,2
Geekbench AI Score
5227
Single Precision Score
36133
Half Precision Score
49328
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Meddog |
| Upload Date | December 27 2025 06:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2376
442.0 IPS |
|
|
Image Classification (HP)
|
100% |
16065
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
23226
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20052
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25608
415.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10677
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160156
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297723
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
17573
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25352
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4675
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
52009
618.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8653
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104656
806.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165554
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25573
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258892
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351108
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56303
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85186
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6085
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5342
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10936
188.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12126
209.5 IPS |
