iPhone18,2
Geekbench AI Score
9027
Single Precision Score
16480
Half Precision Score
17080
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | September 25 2025 04:36 AM |
| Views | 9 |
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% |
4257
791.6 IPS |
|
|
Image Classification (HP)
|
100% |
8082
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7531
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5976
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9490
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10461
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20137
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53402
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57566
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4359
345.8 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8072
643.9 IPS |
|
|
Face Detection (SP)
|
100% |
11508
136.7 IPS |
|
|
Face Detection (HP)
|
100% |
22956
272.8 IPS |
|
|
Face Detection (Q)
|
100% |
17611
209.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17776
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35051
270.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37908
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43245
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94594
121.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119225
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18570
685.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22272
822.4 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6684
8.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6767
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4997
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4813
83.2 IPS |
