iPhone18,3
Geekbench AI Score
4442
Single Precision Score
7465
Half Precision Score
5828
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 06:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.8 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3063
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9069
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17235
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14238
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2495
198.9 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6752
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3653
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7813
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13231
102.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8874
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20744
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34763
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28798
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5047
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6681
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4739
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6394
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6356
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6352
109.8 IPS |
