iPhone18,3
Geekbench AI Score
3451
Single Precision Score
6561
Half Precision Score
6547
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 05:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3545
659.2 IPS |
|
|
Image Classification (HP)
|
100% |
6892
1.28 KIPS |
|
|
Image Classification (Q)
|
97% |
6257
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5012
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8717
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9040
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18421
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51041
59.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
58036
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
3920
310.9 IPS |
|
|
Object Detection (HP)
|
100% |
7350
583.0 IPS |
|
|
Object Detection (Q)
|
93% |
6699
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
9465
112.5 IPS |
|
|
Face Detection (HP)
|
100% |
19137
227.4 IPS |
|
|
Face Detection (Q)
|
100% |
15042
178.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15935
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34161
263.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35171
274.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38820
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90803
116.7 IPS |
|
|
Style Transfer (Q)
|
96% |
105764
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9208
340.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17948
662.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19246
710.7 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6164
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6113
8.20 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
38.1 IPS |
|
|
Machine Translation (HP)
|
0% |
0
54.7 IPS |
|
|
Machine Translation (Q)
|
0% |
0
47.3 IPS |
