iPhone17 iPhone18,3
Geekbench AI Score
8051
Single Precision Score
15367
Half Precision Score
15370
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | October 17 2025 12:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3649
678.5 IPS |
|
|
Image Classification (HP)
|
100% |
7270
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6611
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5053
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8753
141.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9046
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18438
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49725
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57760
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
3930
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
7478
593.1 IPS |
|
|
Object Detection (Q)
|
93% |
6770
540.1 IPS |
|
|
Face Detection (SP)
|
100% |
9290
110.4 IPS |
|
|
Face Detection (HP)
|
100% |
19054
226.4 IPS |
|
|
Face Detection (Q)
|
100% |
14526
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15805
121.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33655
259.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35368
276.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38743
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90094
115.8 IPS |
|
|
Style Transfer (Q)
|
96% |
106067
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9278
342.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18305
675.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19438
717.7 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6362
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4596
79.4 IPS |
