iPhone18,4
Geekbench AI Score
6125
Single Precision Score
11199
Half Precision Score
11288
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.09 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3930
730.8 IPS |
|
|
Image Classification (HP)
|
100% |
7463
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6885
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5337
86.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8849
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9272
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17449
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35666
41.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
34426
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
4319
342.6 IPS |
|
|
Object Detection (Q)
|
93% |
4928
393.1 IPS |
|
|
Face Detection (SP)
|
100% |
8774
104.2 IPS |
|
|
Face Detection (HP)
|
100% |
15108
179.5 IPS |
|
|
Face Detection (Q)
|
100% |
12014
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10815
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24340
187.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
32654
254.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29751
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49728
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
67161
86.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6501
240.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13314
491.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17360
641.0 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5969
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5970
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1136
19.6 IPS |
