iPhone18,2
Geekbench AI Score
5064
Single Precision Score
8321
Half Precision Score
6488
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | teotwawk |
| Upload Date | November 03 2025 06:39 AM |
| Views | 11 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.7 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10140
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18712
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15758
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (HP)
|
97% |
4135
329.2 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
8303
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4243
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14141
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9852
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23824
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37753
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30957
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5441
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6934
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5977
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9479
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9477
163.8 IPS |
