iPhone18,4
Geekbench AI Score
4919
Single Precision Score
8128
Half Precision Score
6382
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 05:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.8 IPS |
|
|
Image Classification (Q)
|
96% |
2453
458.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9647
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17998
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14868
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
97% |
3994
318.0 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7968
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4138
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8033
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13606
105.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9526
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23718
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36851
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30001
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6719
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6429
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6406
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4987
85.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9150
158.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9049
156.4 IPS |
