Razer Blade 14 - RZ09-0530
Geekbench AI Score
3805
Single Precision Score
1959
Half Precision Score
7445
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 10:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 14 - RZ09-0530 |
| Motherboard | Razer PI4110 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
99% |
7821
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10210
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7070
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5725
6.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
26123
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (HP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
86% |
7769
624.4 IPS |
|
|
Face Detection (SP)
|
100% |
6460
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11214
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8153
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3055
23.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16722
133.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16137
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14574
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32903
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2449
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2329
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1293
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1094
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2387
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3699
74.3 IPS |
