Razer Blade 18 - RZ09-0529
Geekbench AI Score
6840
Single Precision Score
2376
Half Precision Score
10188
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 07:41 PM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5497
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
99% |
9504
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4386
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13965
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7654
8.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
46122
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
4937
391.6 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
86% |
12058
969.1 IPS |
|
|
Face Detection (SP)
|
100% |
14588
173.3 IPS |
|
|
Face Detection (HP)
|
100% |
2488
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
13733
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15252
117.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3332
25.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24470
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31664
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19790
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29210
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3535
130.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6604
244.5 IPS |
|
|
Text Classification (SP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1729
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4641
93.3 IPS |
