iPhone18,4
Geekbench AI Score
5040
Single Precision Score
8245
Half Precision Score
6586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:47 PM |
| Views | 3 |
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% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
3793
705.4 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3007
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3406
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10394
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18833
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15866
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4051
322.5 IPS |
|
|
Object Detection (Q)
|
94% |
2773
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
4367
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8131
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
4281
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13512
104.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9930
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24053
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35761
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31299
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6915
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6477
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9483
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9511
164.4 IPS |
