iPhone18,3
Geekbench AI Score
3874
Single Precision Score
30218
Half Precision Score
41303
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:51 PM |
| Views | 1 |
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 | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (HP)
|
100% |
14307
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
19906
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15917
258.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20962
339.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7486
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
117827
137.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
220665
258.6 IPS |
|
|
Object Detection (SP)
|
100% |
2065
163.8 IPS |
|
|
Object Detection (HP)
|
100% |
15547
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21355
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
31243
371.2 IPS |
|
|
Face Detection (Q)
|
100% |
39364
467.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7139
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87114
671.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
142325
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
19375
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205118
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
286546
369.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49335
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75730
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5443
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5410
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10153
174.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11174
193.1 IPS |
