iPhone18,4
Geekbench AI Score
7004
Single Precision Score
13545
Half Precision Score
15306
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:30 PM |
| Views | 6 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3961
736.6 IPS |
|
|
Image Classification (HP)
|
100% |
7419
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6869
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5356
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8904
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9244
149.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13729
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
40591
47.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
52773
61.9 IPS |
|
|
Object Detection (SP)
|
100% |
3013
239.0 IPS |
|
|
Object Detection (HP)
|
100% |
7447
590.7 IPS |
|
|
Object Detection (Q)
|
93% |
7110
567.2 IPS |
|
|
Face Detection (SP)
|
100% |
10953
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
20361
241.9 IPS |
|
|
Face Detection (Q)
|
100% |
15779
187.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14237
109.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31662
243.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35646
278.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34732
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71338
91.7 IPS |
|
|
Style Transfer (Q)
|
96% |
84239
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7826
289.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17664
652.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20092
741.9 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4896
84.6 IPS |
