iPhone18,4
Geekbench AI Score
7719
Single Precision Score
14736
Half Precision Score
13701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3944
733.5 IPS |
|
|
Image Classification (HP)
|
100% |
7455
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6929
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5345
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8919
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9314
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18165
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49591
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
52853
61.9 IPS |
|
|
Object Detection (SP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (HP)
|
100% |
6975
553.2 IPS |
|
|
Object Detection (Q)
|
93% |
7118
567.8 IPS |
|
|
Face Detection (SP)
|
100% |
10800
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
20464
243.2 IPS |
|
|
Face Detection (Q)
|
100% |
15796
187.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14251
109.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33289
256.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
34973
273.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36442
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
65973
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
82478
106.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7494
276.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16533
610.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19997
738.4 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6540
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1639
28.3 IPS |
