iPhone18,4
Geekbench AI Score
4988
Single Precision Score
8161
Half Precision Score
6457
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
3681
684.5 IPS |
|
|
Image Classification (Q)
|
96% |
2462
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10156
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18322
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15556
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
4041
321.7 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7855
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4167
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8262
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13783
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9583
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24163
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37102
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30608
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5507
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6806
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6472
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6481
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9166
158.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9246
159.8 IPS |
