iPhone18,4
Geekbench AI Score
5022
Single Precision Score
8267
Half Precision Score
6548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sknight |
| Upload Date | September 23 2025 11:21 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.9 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10320
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18964
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15875
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
97% |
3997
318.2 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
8124
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
4285
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8259
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13911
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9903
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24467
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37599
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31146
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5563
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6872
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6442
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4685
80.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9451
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9414
162.7 IPS |
