iPhone18,3
Geekbench AI Score
4598
Single Precision Score
7770
Half Precision Score
6213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 19 2025 02:07 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (HP)
|
100% |
3508
652.4 IPS |
|
|
Image Classification (Q)
|
96% |
2367
442.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3295
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8599
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18413
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15659
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
4005
318.8 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7176
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4042
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13740
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21457
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36923
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30641
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6924
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4847
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6132
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6910
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6961
120.3 IPS |
