iPhone18,3
Geekbench AI Score
3965
Single Precision Score
6575
Half Precision Score
5248
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:49 PM |
| Views | 1 |
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 | 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% |
1789
332.6 IPS |
|
|
Image Classification (HP)
|
100% |
2891
537.5 IPS |
|
|
Image Classification (Q)
|
96% |
1919
358.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2808
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8361
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
16279
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13852
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3340
265.9 IPS |
|
|
Object Detection (Q)
|
94% |
2292
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5650
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3458
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7178
55.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12006
92.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8391
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19435
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32459
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26386
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4297
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5391
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5253
90.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5256
90.8 IPS |
