iPhone18,2
Geekbench AI Score
9041
Single Precision Score
16782
Half Precision Score
17444
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 05:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4270
794.0 IPS |
|
|
Image Classification (HP)
|
100% |
8035
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7522
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10567
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20219
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53599
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58818
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8061
643.1 IPS |
|
|
Face Detection (SP)
|
100% |
11755
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
23142
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
17980
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17991
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35677
274.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
39033
304.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43536
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94466
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119724
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18678
689.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22417
827.7 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6009
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6070
104.9 IPS |
