iPhone18,3
Geekbench AI Score
8050
Single Precision Score
15585
Half Precision Score
15582
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 03:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3659
680.5 IPS |
|
|
Image Classification (HP)
|
100% |
7202
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6502
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5054
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8632
139.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8996
145.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18386
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49232
57.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
57677
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
3920
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
7399
586.9 IPS |
|
|
Object Detection (Q)
|
93% |
6815
543.7 IPS |
|
|
Face Detection (SP)
|
100% |
9308
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
19257
228.8 IPS |
|
|
Face Detection (Q)
|
100% |
14685
174.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15800
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33342
256.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35160
274.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38584
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
90047
115.8 IPS |
|
|
Style Transfer (Q)
|
96% |
106041
136.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9277
342.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18329
676.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19404
716.5 IPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6417
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6281
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4572
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5490
94.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5501
95.1 IPS |
