iPhone18,2
Geekbench AI Score
9060
Single Precision Score
16882
Half Precision Score
17418
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MrSunamix |
| Upload Date | November 17 2025 08:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4264
792.9 IPS |
|
|
Image Classification (HP)
|
100% |
8078
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7530
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6043
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9502
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10501
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20300
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53961
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58823
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8075
644.2 IPS |
|
|
Face Detection (SP)
|
100% |
11532
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
23151
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17735
210.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17858
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34970
269.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37898
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43439
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96266
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119600
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10476
386.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18903
698.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22681
837.5 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6367
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4964
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5971
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5896
101.9 IPS |
