iPhone18,3
Geekbench AI Score
8071
Single Precision Score
15627
Half Precision Score
15657
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3638
676.6 IPS |
|
|
Image Classification (HP)
|
100% |
7083
1.32 KIPS |
|
|
Image Classification (Q)
|
97% |
6649
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5076
82.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8765
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8983
145.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18413
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49716
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57990
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
3935
312.1 IPS |
|
|
Object Detection (HP)
|
100% |
7440
590.2 IPS |
|
|
Object Detection (Q)
|
93% |
6819
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
9505
112.9 IPS |
|
|
Face Detection (HP)
|
100% |
19400
230.5 IPS |
|
|
Face Detection (Q)
|
100% |
14810
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15843
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33668
259.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
35366
276.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38805
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90481
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106281
137.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9278
342.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18312
676.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19432
717.5 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4593
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5446
93.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5439
94.0 IPS |
