iPhone18,4
Geekbench AI Score
4942
Single Precision Score
8158
Half Precision Score
6405
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 03:14 PM |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
3641
677.1 IPS |
|
|
Image Classification (Q)
|
96% |
2368
442.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9746
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18331
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15311
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
97% |
3954
314.8 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4230
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7828
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4114
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13538
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9454
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23282
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36633
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29137
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6704
247.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6693
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6744
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9245
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9363
161.8 IPS |
