iPhone18,2
Geekbench AI Score
9043
Single Precision Score
16735
Half Precision Score
17363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:48 AM |
| 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 | 4.13 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4290
797.9 IPS |
|
|
Image Classification (HP)
|
100% |
8029
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7435
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5998
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9494
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10511
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20142
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53424
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58003
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8043
641.6 IPS |
|
|
Face Detection (SP)
|
100% |
11692
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
23116
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17953
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17574
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35605
274.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37876
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43133
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94484
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119023
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18299
675.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22024
813.2 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6283
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5859
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5976
103.3 IPS |
