iPhone18,1
Geekbench AI Score
9138
Single Precision Score
16597
Half Precision Score
17148
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4215
783.8 IPS |
|
|
Image Classification (HP)
|
100% |
8078
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7438
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6105
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9599
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10600
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20382
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54113
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59193
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8082
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8123
648.0 IPS |
|
|
Face Detection (SP)
|
100% |
11857
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
23111
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17936
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35565
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39088
305.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43689
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96725
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
120275
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10427
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19208
709.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22400
827.1 IPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6447
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4758
82.2 IPS |
