iPhone18,3
Geekbench AI Score
4622
Single Precision Score
7832
Half Precision Score
6230
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 01:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2200
409.2 IPS |
|
|
Image Classification (HP)
|
100% |
3527
655.9 IPS |
|
|
Image Classification (Q)
|
96% |
2376
443.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3313
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8551
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
18061
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15417
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
4047
322.2 IPS |
|
|
Object Detection (Q)
|
94% |
2747
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7266
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13799
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9742
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21838
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37644
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30911
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6808
251.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3542
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6337
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4287
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6978
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6959
120.3 IPS |
