iPhone18,3
Geekbench AI Score
8013
Single Precision Score
15382
Half Precision Score
15319
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:11 AM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3634
675.8 IPS |
|
|
Image Classification (HP)
|
100% |
7292
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6510
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5052
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8764
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9040
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18442
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49889
58.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57779
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
3919
310.8 IPS |
|
|
Object Detection (HP)
|
100% |
7393
586.4 IPS |
|
|
Object Detection (Q)
|
93% |
6803
542.7 IPS |
|
|
Face Detection (SP)
|
100% |
9270
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
19136
227.4 IPS |
|
|
Face Detection (Q)
|
100% |
14559
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15848
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33670
259.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
35148
274.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38630
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
90571
116.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106288
137.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9243
341.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18330
676.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19389
715.9 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6332
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4610
79.7 IPS |
