iPhone18,2
Geekbench AI Score
5107
Single Precision Score
8314
Half Precision Score
6583
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.4 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3043
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9947
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18833
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15966
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (HP)
|
97% |
4154
330.7 IPS |
|
|
Object Detection (Q)
|
94% |
2832
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8418
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4330
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8428
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14206
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10013
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24610
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38597
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31350
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6971
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6147
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6233
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5240
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9044
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9440
163.1 IPS |
