Razer Blade 14 (2022) - RZ09-0427
Geekbench AI Score
2053
Single Precision Score
930
Half Precision Score
3329
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:21 AM |
| Views | 4 |
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% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (Q)
|
96% |
2741
511.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
3261
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2672
3.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
6497
7.68 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (Q)
|
58% |
1859
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
5054
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4158
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1338
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6590
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7890
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6609
8.50 IPS |
|
|
Style Transfer (Q)
|
87% |
11273
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2501
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
589
786.4 IPS |
|
|
Text Classification (Q)
|
97% |
875
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
68% |
1887
36.5 IPS |
