iPhone18,3
Geekbench AI Score
8026
Single Precision Score
15349
Half Precision Score
15313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:11 AM |
| Views | 8 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3671
682.8 IPS |
|
|
Image Classification (HP)
|
100% |
7346
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6506
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5030
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8727
141.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9029
146.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18348
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49449
57.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57758
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
3930
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
7446
590.6 IPS |
|
|
Object Detection (Q)
|
93% |
6789
541.6 IPS |
|
|
Face Detection (SP)
|
100% |
9268
110.1 IPS |
|
|
Face Detection (HP)
|
100% |
18910
224.7 IPS |
|
|
Face Detection (Q)
|
100% |
14625
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15764
121.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33456
257.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35429
276.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38685
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89597
115.2 IPS |
|
|
Style Transfer (Q)
|
96% |
105790
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9267
342.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18276
674.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19205
709.2 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6436
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6358
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4600
79.5 IPS |
