iPhone18,2
Geekbench AI Score
9117
Single Precision Score
16796
Half Precision Score
17412
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4319
803.3 IPS |
|
|
Image Classification (HP)
|
100% |
8066
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7486
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6065
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9483
153.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10471
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20277
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53923
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58907
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8150
646.5 IPS |
|
|
Object Detection (Q)
|
93% |
8146
649.8 IPS |
|
|
Face Detection (SP)
|
100% |
11741
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
23179
275.4 IPS |
|
|
Face Detection (Q)
|
100% |
17972
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18027
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35024
269.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38666
301.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43765
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95133
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
120239
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10428
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18708
690.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22552
832.7 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6036
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6023
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5990
103.5 IPS |
