iPhone18,2
Geekbench AI Score
9208
Single Precision Score
17090
Half Precision Score
17665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 07:05 PM |
| Views | 5 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4271
794.2 IPS |
|
|
Image Classification (HP)
|
100% |
7985
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7448
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6169
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9726
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10676
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20569
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54720
63.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60352
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
4432
351.5 IPS |
|
|
Object Detection (HP)
|
100% |
8213
651.5 IPS |
|
|
Object Detection (Q)
|
93% |
8061
643.1 IPS |
|
|
Face Detection (SP)
|
100% |
12015
142.8 IPS |
|
|
Face Detection (HP)
|
100% |
23671
281.3 IPS |
|
|
Face Detection (Q)
|
100% |
18599
221.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18242
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36082
278.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39076
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44827
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
97004
124.7 IPS |
|
|
Style Transfer (Q)
|
96% |
121652
157.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10475
386.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18945
699.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22412
827.6 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6365
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6319
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6097
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6109
105.6 IPS |
