iPhone18,2
Geekbench AI Score
9182
Single Precision Score
16699
Half Precision Score
17257
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 19 2025 11:59 PM |
| Views | 7 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4254
791.2 IPS |
|
|
Image Classification (HP)
|
100% |
8131
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7570
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6128
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9653
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10647
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20483
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54588
63.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59621
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8184
649.2 IPS |
|
|
Object Detection (Q)
|
93% |
8056
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
11958
142.1 IPS |
|
|
Face Detection (HP)
|
100% |
23138
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
17974
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18119
139.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35704
275.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39512
308.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44027
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96895
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
120462
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10498
387.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19003
701.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22823
842.8 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6442
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6448
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4807
83.1 IPS |
