iPhone18,2
Geekbench AI Score
5147
Single Precision Score
8436
Half Precision Score
6599
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 10:08 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
3801
706.9 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3386
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10335
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18886
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16011
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2846
226.8 IPS |
|
|
Face Detection (SP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4376
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14199
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10101
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24784
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38229
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31623
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5276
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9614
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9517
164.5 IPS |
