Razer Blade 18 - RZ09-0529
Geekbench AI Score
5801
Single Precision Score
2163
Half Precision Score
9141
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 01:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 18 - RZ09-0529 |
| Motherboard | Razer KI8110 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4821
896.6 IPS |
|
|
Image Classification (HP)
|
100% |
747
138.9 IPS |
|
|
Image Classification (Q)
|
99% |
9393
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4201
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12537
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6673
7.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
38430
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
3864
306.5 IPS |
|
|
Object Detection (HP)
|
100% |
961
76.2 IPS |
|
|
Object Detection (Q)
|
86% |
10963
881.0 IPS |
|
|
Face Detection (SP)
|
100% |
11717
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
2334
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
11994
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13717
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3037
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21586
172.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26892
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17920
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25251
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3888
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5274
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1636
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4347
87.3 IPS |
