iPhone18,2
Geekbench AI Score
5183
Single Precision Score
8397
Half Precision Score
6655
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 08:55 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2358
438.4 IPS |
|
|
Image Classification (HP)
|
100% |
3767
700.6 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10736
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19562
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16659
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (HP)
|
97% |
4226
336.4 IPS |
|
|
Object Detection (Q)
|
94% |
2895
230.8 IPS |
|
|
Face Detection (SP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8485
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4452
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14439
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10202
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24720
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39097
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32121
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5910
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5910
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5382
92.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9443
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9522
164.6 IPS |
