iPhone18,2
Geekbench AI Score
5069
Single Precision Score
8213
Half Precision Score
6488
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9848
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17851
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15415
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
97% |
4124
328.3 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8202
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4156
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13829
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9793
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24261
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38014
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31227
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5583
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6953
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9435
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9215
159.2 IPS |
