iPhone18,4
Geekbench AI Score
4605
Single Precision Score
7294
Half Precision Score
5738
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:30 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (Q)
|
96% |
2402
448.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3295
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9615
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16234
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13896
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
97% |
3663
291.6 IPS |
|
|
Object Detection (Q)
|
94% |
2475
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7406
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
3800
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7732
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12760
98.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9092
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22186
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30875
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24865
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5791
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
6024
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5744
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4081
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6400
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6606
114.2 IPS |
