iPhone18,4
Geekbench AI Score
8271
Single Precision Score
15624
Half Precision Score
14387
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 05:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3951
734.8 IPS |
|
|
Image Classification (HP)
|
100% |
7510
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
6877
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5346
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8912
144.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9271
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18305
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49517
57.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
56572
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
3947
313.1 IPS |
|
|
Object Detection (HP)
|
100% |
7725
612.8 IPS |
|
|
Object Detection (Q)
|
93% |
7115
567.6 IPS |
|
|
Face Detection (SP)
|
100% |
10921
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
22024
261.7 IPS |
|
|
Face Detection (Q)
|
100% |
16250
193.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16065
123.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33561
258.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35749
279.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39812
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
89587
115.2 IPS |
|
|
Style Transfer (Q)
|
96% |
108707
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9377
346.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18128
669.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20585
760.1 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6485
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1757
30.4 IPS |
