iPhone18,4
Geekbench AI Score
4971
Single Precision Score
8096
Half Precision Score
6429
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2325
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
96% |
2454
458.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9901
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18258
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15433
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2533
200.9 IPS |
|
|
Object Detection (HP)
|
97% |
4023
320.2 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4211
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7953
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4119
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8170
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13806
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9442
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23429
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36492
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30285
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6780
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4937
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6348
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5007
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8524
147.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9527
164.6 IPS |
