iPhone18,2
Geekbench AI Score
5128
Single Precision Score
8439
Half Precision Score
6711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 07:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2344
435.9 IPS |
|
|
Image Classification (HP)
|
100% |
3701
688.2 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10912
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19824
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16702
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
4217
335.7 IPS |
|
|
Object Detection (Q)
|
94% |
2896
230.8 IPS |
|
|
Face Detection (SP)
|
100% |
4083
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
8537
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4604
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8551
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14540
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10243
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25321
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39370
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32597
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6009
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6089
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9458
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9537
164.8 IPS |
