iPhone18,3
Geekbench AI Score
8010
Single Precision Score
15343
Half Precision Score
15299
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 03:01 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% |
3653
679.4 IPS |
|
|
Image Classification (HP)
|
100% |
7162
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
6329
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5017
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8708
141.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9053
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18388
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50099
58.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58020
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
3938
312.4 IPS |
|
|
Object Detection (HP)
|
100% |
7429
589.3 IPS |
|
|
Object Detection (Q)
|
93% |
6755
538.9 IPS |
|
|
Face Detection (SP)
|
100% |
9554
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
19285
229.1 IPS |
|
|
Face Detection (Q)
|
100% |
15045
178.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15961
123.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34152
263.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
35490
277.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39065
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
90667
116.6 IPS |
|
|
Style Transfer (Q)
|
96% |
106555
137.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9265
342.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18361
678.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19376
715.5 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4618
79.8 IPS |
