iPhone18,2
Geekbench AI Score
9150
Single Precision Score
16424
Half Precision Score
17125
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | September 20 2025 04:28 PM |
| Views | 11 |
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% |
4236
787.7 IPS |
|
|
Image Classification (HP)
|
100% |
8046
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7466
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9571
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10558
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20331
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53990
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59249
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8048
642.0 IPS |
|
|
Face Detection (SP)
|
100% |
11751
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23067
274.1 IPS |
|
|
Face Detection (Q)
|
100% |
17970
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17951
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34352
264.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38459
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43598
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96390
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120209
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10423
384.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18550
685.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22595
834.3 IPS |
|
|
Text Classification (SP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6371
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5208
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4712
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4844
83.7 IPS |
