iPhone18,2
Geekbench AI Score
9010
Single Precision Score
16478
Half Precision Score
16957
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 01:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4205
782.1 IPS |
|
|
Image Classification (HP)
|
100% |
7988
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7333
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6124
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10581
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20451
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54652
63.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59897
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8030
640.6 IPS |
|
|
Face Detection (SP)
|
100% |
11591
137.7 IPS |
|
|
Face Detection (HP)
|
100% |
23125
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18133
215.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17989
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35760
275.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38523
300.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44550
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96501
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
121116
156.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10437
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18835
695.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22213
820.2 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6161
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6014
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4897
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4661
80.5 IPS |
