iPhone18,2
Geekbench AI Score
4864
Single Precision Score
8014
Half Precision Score
6327
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | obb1009 |
| Upload Date | September 24 2025 08:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2287
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2423
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3313
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9167
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17186
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14811
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2382
188.9 IPS |
|
|
Object Detection (HP)
|
97% |
3912
311.5 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
4174
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7769
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4072
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8009
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13201
102.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9504
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23012
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36609
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29646
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6699
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6473
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6554
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8954
154.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8948
154.6 IPS |
