iPhone18,4
Geekbench AI Score
7369
Single Precision Score
14057
Half Precision Score
13360
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | September 25 2025 10:33 AM |
| Views | 7 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3893
724.0 IPS |
|
|
Image Classification (HP)
|
100% |
7618
1.42 KIPS |
|
|
Image Classification (Q)
|
97% |
6879
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5347
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8943
145.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9307
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18253
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49749
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57436
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
3961
314.2 IPS |
|
|
Object Detection (HP)
|
100% |
7677
609.0 IPS |
|
|
Object Detection (Q)
|
93% |
7099
566.3 IPS |
|
|
Face Detection (SP)
|
100% |
11054
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
21914
260.4 IPS |
|
|
Face Detection (Q)
|
100% |
16193
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16125
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33820
260.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35513
277.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35171
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
69718
89.6 IPS |
|
|
Style Transfer (Q)
|
96% |
82982
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7908
292.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17752
655.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19402
716.4 IPS |
|
|
Text Classification (SP)
|
100% |
3495
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6385
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6377
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1176
20.3 IPS |
