iPhone18,2
Geekbench AI Score
8929
Single Precision Score
16123
Half Precision Score
16600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:00 PM |
| Views | 8 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4126
767.2 IPS |
|
|
Image Classification (HP)
|
100% |
7390
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6909
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9584
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10472
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20339
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53989
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59492
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4398
348.9 IPS |
|
|
Object Detection (HP)
|
100% |
7990
633.8 IPS |
|
|
Object Detection (Q)
|
93% |
7883
628.9 IPS |
|
|
Face Detection (SP)
|
100% |
11694
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
22866
271.7 IPS |
|
|
Face Detection (Q)
|
100% |
17978
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17994
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35240
271.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38006
296.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44027
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95517
122.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120563
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10382
383.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18856
696.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21765
803.7 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6022
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4601
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4337
74.9 IPS |
