iPhone18,2
Geekbench AI Score
9047
Single Precision Score
16617
Half Precision Score
17050
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 06:09 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4204
781.8 IPS |
|
|
Image Classification (HP)
|
100% |
7968
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7425
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9636
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10584
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20378
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54090
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59303
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8022
639.9 IPS |
|
|
Face Detection (SP)
|
100% |
11589
137.7 IPS |
|
|
Face Detection (HP)
|
100% |
23090
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
18225
216.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18062
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35648
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38695
302.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43782
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96439
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120592
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19353
714.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22395
827.0 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6429
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5093
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4836
83.6 IPS |
