iPhone18,3
Geekbench AI Score
4591
Single Precision Score
34955
Half Precision Score
48571
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 07:49 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (HP)
|
100% |
15791
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22960
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18830
305.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24235
392.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8761
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154659
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
289543
339.4 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
17274
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25039
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3693
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
38820
461.3 IPS |
|
|
Face Detection (Q)
|
100% |
50817
603.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8233
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102080
786.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167602
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21806
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
250235
321.7 IPS |
|
|
Style Transfer (Q)
|
96% |
345425
445.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55148
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85012
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5832
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4043
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10750
185.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12368
213.7 IPS |
