iPhone18,3
Geekbench AI Score
4621
Single Precision Score
35231
Half Precision Score
48807
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 01:58 PM |
| Views | 3 |
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% |
2187
406.8 IPS |
|
|
Image Classification (HP)
|
100% |
15647
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
22626
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18941
307.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24160
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8661
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
151869
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
282335
330.9 IPS |
|
|
Object Detection (SP)
|
100% |
2504
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
17333
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25158
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
38340
455.6 IPS |
|
|
Face Detection (Q)
|
100% |
49931
593.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101915
785.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162183
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21306
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
251438
323.2 IPS |
|
|
Style Transfer (Q)
|
96% |
345393
445.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5272
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55144
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90900
3.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10891
187.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12042
208.1 IPS |
