iPhone18,2
Geekbench AI Score
3874
Single Precision Score
7061
Half Precision Score
7320
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | October 17 2025 05:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4292
798.2 IPS |
|
|
Image Classification (HP)
|
100% |
7926
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7464
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6094
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9591
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10613
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20365
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54212
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59581
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8120
644.1 IPS |
|
|
Object Detection (Q)
|
93% |
8039
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
11942
141.9 IPS |
|
|
Face Detection (HP)
|
100% |
23242
276.2 IPS |
|
|
Face Detection (Q)
|
100% |
18302
217.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18041
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35146
270.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38139
297.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44001
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96594
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120902
156.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10418
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19015
702.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22363
825.8 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6142
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6169
8.28 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
47.1 IPS |
|
|
Machine Translation (HP)
|
0% |
0
64.0 IPS |
|
|
Machine Translation (Q)
|
0% |
0
55.6 IPS |
