iPhone18,4
Geekbench AI Score
7500
Single Precision Score
15287
Half Precision Score
13378
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | hawie |
| Upload Date | November 04 2025 11:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3858
717.5 IPS |
|
|
Image Classification (HP)
|
100% |
7425
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6867
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5359
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8868
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9301
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18046
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48955
57.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57005
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
7655
607.2 IPS |
|
|
Object Detection (Q)
|
93% |
7230
576.8 IPS |
|
|
Face Detection (SP)
|
100% |
11052
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
21801
259.0 IPS |
|
|
Face Detection (Q)
|
100% |
15849
188.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14057
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33244
256.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
35537
277.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35183
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70979
91.2 IPS |
|
|
Style Transfer (Q)
|
96% |
83816
108.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7601
280.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17799
657.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19953
736.8 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6324
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6335
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4880
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1169
20.2 IPS |
