iPhone18,4
Geekbench AI Score
7223
Single Precision Score
14964
Half Precision Score
14001
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3981
740.4 IPS |
|
|
Image Classification (HP)
|
100% |
7485
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6889
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5357
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8974
145.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9313
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18206
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49433
57.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57505
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
3778
299.6 IPS |
|
|
Object Detection (HP)
|
100% |
7565
600.1 IPS |
|
|
Object Detection (Q)
|
93% |
7192
573.8 IPS |
|
|
Face Detection (SP)
|
100% |
10898
129.5 IPS |
|
|
Face Detection (HP)
|
100% |
20059
238.3 IPS |
|
|
Face Detection (Q)
|
100% |
15806
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13319
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
31512
242.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35755
279.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35045
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
69316
89.1 IPS |
|
|
Style Transfer (Q)
|
96% |
84598
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7662
282.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18034
665.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20036
739.8 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6360
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4460
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1795
31.0 IPS |
