iPhone18,3
Geekbench AI Score
8045
Single Precision Score
15331
Half Precision Score
15265
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 26 2025 08:09 AM |
| Views | 6 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3654
679.5 IPS |
|
|
Image Classification (HP)
|
100% |
7216
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6449
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5008
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8736
141.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9036
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18394
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49857
58.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57815
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3928
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
7390
586.2 IPS |
|
|
Object Detection (Q)
|
93% |
6783
541.2 IPS |
|
|
Face Detection (SP)
|
100% |
9346
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
19312
229.5 IPS |
|
|
Face Detection (Q)
|
100% |
14667
174.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15826
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33555
258.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35168
274.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38961
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
90373
116.2 IPS |
|
|
Style Transfer (Q)
|
96% |
106071
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9304
343.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18320
676.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19452
718.3 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6267
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4546
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4595
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4594
79.4 IPS |
