iPhone18,3
Geekbench AI Score
4344
Single Precision Score
34680
Half Precision Score
47787
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
15775
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
21535
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18356
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23365
378.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7706
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
134589
157.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
262141
307.2 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
17503
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24962
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
38519
457.7 IPS |
|
|
Face Detection (Q)
|
100% |
50747
603.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7687
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98910
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165983
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
20012
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244083
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
338425
436.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56776
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86089
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4123
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10822
186.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12002
207.4 IPS |
