iPhone18,2
Geekbench AI Score
9009
Single Precision Score
16217
Half Precision Score
16771
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:52 PM |
| Views | 1 |
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% |
4239
788.2 IPS |
|
|
Image Classification (HP)
|
100% |
7912
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7343
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5948
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9457
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10374
168.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19974
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53053
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57096
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
4339
344.1 IPS |
|
|
Object Detection (HP)
|
100% |
8136
645.3 IPS |
|
|
Object Detection (Q)
|
93% |
8034
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11526
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
22541
267.8 IPS |
|
|
Face Detection (Q)
|
100% |
17567
208.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17683
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35156
270.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37735
294.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43204
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93208
119.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117649
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10333
381.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17737
654.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21993
812.1 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6353
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5121
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4682
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4664
80.6 IPS |
