iPhone18,2
Geekbench AI Score
9118
Single Precision Score
16663
Half Precision Score
17111
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Swanne |
| Upload Date | September 28 2025 03:50 PM |
| Views | 4 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4249
790.2 IPS |
|
|
Image Classification (HP)
|
100% |
8102
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7542
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6076
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9542
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10555
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20379
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53978
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59044
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4388
348.1 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11669
138.7 IPS |
|
|
Face Detection (HP)
|
100% |
23131
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17956
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35108
270.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38732
302.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43924
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96164
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119664
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10419
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20159
744.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22510
831.2 IPS |
|
|
Text Classification (SP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6446
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6419
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5030
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
