iPhone18,3
Geekbench AI Score
4627
Single Precision Score
7755
Half Precision Score
6159
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2179
405.3 IPS |
|
|
Image Classification (HP)
|
100% |
3495
650.0 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9577
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18150
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15610
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
97% |
3970
316.1 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7122
84.6 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8068
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13755
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9439
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21789
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37105
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30586
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5158
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6378
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6690
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6776
117.1 IPS |
