iPhone18,3
Geekbench AI Score
4451
Single Precision Score
35202
Half Precision Score
48088
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 05:43 PM |
| Views | 2 |
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% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
15908
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
22487
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18840
305.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23002
372.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8071
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
145924
170.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
267053
313.0 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
17273
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24559
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
38933
462.6 IPS |
|
|
Face Detection (Q)
|
100% |
54509
647.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7914
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100714
775.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
157319
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
20345
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243658
313.2 IPS |
|
|
Style Transfer (Q)
|
96% |
344045
444.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56761
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84955
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6544
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6407
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4138
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10900
187.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12140
209.8 IPS |
