iPhone18,3
Geekbench AI Score
8068
Single Precision Score
15470
Half Precision Score
15466
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jkochar |
| Upload Date | October 05 2025 01:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3629
675.0 IPS |
|
|
Image Classification (HP)
|
100% |
7247
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6606
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5018
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8715
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9033
146.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18397
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50677
59.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
58101
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
3931
311.8 IPS |
|
|
Object Detection (HP)
|
100% |
7423
588.8 IPS |
|
|
Object Detection (Q)
|
93% |
6766
539.7 IPS |
|
|
Face Detection (SP)
|
100% |
9375
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
19313
229.5 IPS |
|
|
Face Detection (Q)
|
100% |
15094
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15921
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33994
261.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35200
274.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39114
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90994
117.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106648
137.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9261
342.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18346
677.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19779
730.4 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6529
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6494
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4618
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4589
79.3 IPS |
