iPhone18,2
Geekbench AI Score
9116
Single Precision Score
16528
Half Precision Score
17130
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4288
797.5 IPS |
|
|
Image Classification (HP)
|
100% |
8068
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7572
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6096
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9564
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10581
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20367
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54132
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59459
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8056
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
11719
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
23098
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17976
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18077
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35488
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38810
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44101
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95979
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119965
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10418
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19078
704.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22574
833.6 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6455
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4657
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4715
81.5 IPS |
