iPhone18,3
Geekbench AI Score
4566
Single Precision Score
35590
Half Precision Score
48665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:14 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2191
407.5 IPS |
|
|
Image Classification (HP)
|
100% |
16101
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22477
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18906
306.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24127
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8337
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
148588
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
279818
328.0 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
17395
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24614
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
38873
461.9 IPS |
|
|
Face Detection (Q)
|
100% |
50190
596.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8053
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101256
780.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163228
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21370
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246906
317.4 IPS |
|
|
Style Transfer (Q)
|
96% |
344508
444.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58003
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86057
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6761
9.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6673
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10875
187.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12309
212.7 IPS |
