iPhone18,2
Geekbench AI Score
9017
Single Precision Score
16781
Half Precision Score
17457
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 08:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4217
784.3 IPS |
|
|
Image Classification (HP)
|
100% |
8011
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7584
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5987
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9489
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20219
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53530
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58070
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8053
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11542
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
23145
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
17962
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17896
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34886
268.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38467
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43124
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96161
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119310
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18329
676.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22669
837.1 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6342
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6365
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4860
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5968
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5967
103.1 IPS |
