iPhone18,2
Geekbench AI Score
9147
Single Precision Score
16961
Half Precision Score
17608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 07:54 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4339
806.8 IPS |
|
|
Image Classification (HP)
|
100% |
8031
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7631
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6152
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9646
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10591
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20467
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54406
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59685
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8106
643.0 IPS |
|
|
Object Detection (Q)
|
93% |
8081
644.7 IPS |
|
|
Face Detection (SP)
|
100% |
11912
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
23300
276.9 IPS |
|
|
Face Detection (Q)
|
100% |
18118
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18236
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35619
274.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
39350
307.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43899
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96396
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120655
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10463
386.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18985
701.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22401
827.1 IPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4916
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5973
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5998
103.7 IPS |
