iPhone18,2
Geekbench AI Score
4976
Single Precision Score
8180
Half Precision Score
6399
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 05:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.0 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9745
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17885
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15221
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
4072
324.2 IPS |
|
|
Object Detection (Q)
|
94% |
2719
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
8149
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4098
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8247
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13549
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9509
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23854
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37220
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30150
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6802
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4910
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6337
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9247
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9134
157.9 IPS |
