iPhone17 iPhone18,3
Geekbench AI Score
4667
Single Precision Score
7686
Half Precision Score
6199
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | October 17 2025 11:58 AM |
| Views | 6 |
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% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
3527
656.0 IPS |
|
|
Image Classification (Q)
|
96% |
2383
444.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3255
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9593
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18289
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15605
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
4016
319.7 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6865
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8041
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13732
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9623
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21587
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36826
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30611
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6699
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4792
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6144
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6540
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6760
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6919
119.6 IPS |
