Razer Blade 14 (2022) - RZ09-0427
Geekbench AI Score
1501
Single Precision Score
675
Half Precision Score
2382
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 02:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 14 (2022) - RZ09-0427 |
| Motherboard | Razer PI480 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1065
198.0 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (Q)
|
96% |
1887
352.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
2386
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2169
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
4655
5.50 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.4 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
58% |
1414
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (Q)
|
96% |
3406
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2968
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1002
7.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
4505
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5747
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4617
5.94 IPS |
|
|
Style Transfer (Q)
|
87% |
8747
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1825
67.6 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
392
523.1 IPS |
|
|
Text Classification (Q)
|
97% |
582
779.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
68% |
1393
26.9 IPS |
