iPhone18,3
Geekbench AI Score
8087
Single Precision Score
15736
Half Precision Score
15667
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 10:34 PM |
| Views | 1 |
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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3652
679.2 IPS |
|
|
Image Classification (HP)
|
100% |
7263
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6432
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8793
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9089
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18435
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50531
59.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57939
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3940
312.5 IPS |
|
|
Object Detection (HP)
|
100% |
7448
590.8 IPS |
|
|
Object Detection (Q)
|
93% |
6807
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
9493
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
19448
231.1 IPS |
|
|
Face Detection (Q)
|
100% |
14807
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15860
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34179
263.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35523
277.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39012
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
90557
116.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106479
137.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9310
343.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18440
680.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19688
727.0 IPS |
|
|
Text Classification (SP)
|
100% |
3570
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6386
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5400
93.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5490
94.9 IPS |
