Razer Blade 14 (2022) - RZ09-0427
Geekbench AI Score
2724
Single Precision Score
1282
Half Precision Score
4444
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 03:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Razer Blade 14 (2022) - RZ09-0427 |
| Motherboard | Razer PI480 |
| 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% |
1897
352.8 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.6 IPS |
|
|
Image Classification (Q)
|
96% |
4568
853.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
2503
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
9963
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
58% |
2879
314.6 IPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
7665
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6405
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9419
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12011
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9332
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15224
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2343
86.8 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.5 IPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2347
45.4 IPS |
