Razer Blade 16 - RZ09-0528
Geekbench AI Score
28453
Single Precision Score
46878
Half Precision Score
22027
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 08:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 16 - RZ09-0528 |
| Motherboard | Razer SO6110 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11286
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
16109
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
10149
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20908
338.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28526
462.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18664
303.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
183413
214.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
526901
614.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
155733
182.4 IPS |
|
|
Object Detection (SP)
|
100% |
14987
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
21875
1.74 KIPS |
|
|
Object Detection (Q)
|
86% |
12883
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
41439
492.4 IPS |
|
|
Face Detection (HP)
|
100% |
57829
687.1 IPS |
|
|
Face Detection (Q)
|
97% |
34852
415.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
74788
576.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
144771
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54776
437.4 IPS |
|
|
Style Transfer (SP)
|
100% |
264126
339.5 IPS |
|
|
Style Transfer (HP)
|
100% |
833323
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
227638
293.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40960
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67289
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32564
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2024
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5377
92.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2471
46.3 IPS |
