iPhone18,2
Geekbench AI Score
5144
Single Precision Score
8401
Half Precision Score
6682
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3397
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10625
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19528
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16463
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
4279
340.7 IPS |
|
|
Object Detection (Q)
|
94% |
2925
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4512
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14359
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10255
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24847
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39207
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32130
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5615
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7010
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5018
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9208
159.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9980
172.5 IPS |
