iPhone18,3
Geekbench AI Score
4593
Single Precision Score
7719
Half Precision Score
6134
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 07:08 AM |
| Views | 2 |
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% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
3524
655.3 IPS |
|
|
Image Classification (Q)
|
96% |
2389
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3284
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9342
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18096
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15165
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
97% |
3976
316.5 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7135
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
3898
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8130
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13462
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9621
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21485
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36290
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30078
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6840
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4819
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6444
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6691
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6785
117.3 IPS |
