iPhone18,4
Geekbench AI Score
7479
Single Precision Score
14084
Half Precision Score
15423
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3973
738.8 IPS |
|
|
Image Classification (HP)
|
100% |
7452
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6874
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5356
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8960
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9327
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18208
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49394
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
57172
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
3961
314.2 IPS |
|
|
Object Detection (HP)
|
100% |
7723
612.6 IPS |
|
|
Object Detection (Q)
|
93% |
7178
572.6 IPS |
|
|
Face Detection (SP)
|
100% |
11044
131.2 IPS |
|
|
Face Detection (HP)
|
100% |
21176
251.6 IPS |
|
|
Face Detection (Q)
|
100% |
15827
188.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13937
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32619
251.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
36222
282.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35366
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
69482
89.3 IPS |
|
|
Style Transfer (Q)
|
96% |
81237
104.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7905
291.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17706
653.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19944
736.4 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6382
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4883
84.4 IPS |
