iPhone18,2
Geekbench AI Score
5135
Single Precision Score
8265
Half Precision Score
6564
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:49 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% |
2338
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.0 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3050
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3442
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10310
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18829
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15863
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2600
206.2 IPS |
|
|
Object Detection (HP)
|
97% |
4106
326.9 IPS |
|
|
Object Detection (Q)
|
94% |
2810
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8444
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4302
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14243
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9950
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24652
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38078
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31072
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5441
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6700
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6000
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6458
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5380
92.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9250
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9352
161.6 IPS |
