iPhone18,2
Geekbench AI Score
5054
Single Precision Score
8307
Half Precision Score
6564
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 06:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.3 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.8 IPS |
|
|
Image Classification (Q)
|
96% |
2475
462.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3063
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10740
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18468
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16110
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
4127
328.6 IPS |
|
|
Object Detection (Q)
|
94% |
2840
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
8416
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4372
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8343
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14192
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9947
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24132
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37883
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31137
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6943
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6125
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5979
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5356
92.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9412
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9543
164.9 IPS |
