Razer Blade 14 (2022) - RZ09-0427
Geekbench AI Score
2020
Single Precision Score
900
Half Precision Score
3348
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:32 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% |
1551
288.5 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
96% |
2691
502.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
3501
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2655
3.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
6529
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (Q)
|
58% |
1995
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
5500
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4094
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1323
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6480
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7835
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6497
8.35 IPS |
|
|
Style Transfer (Q)
|
87% |
10985
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1347
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2459
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
550
734.6 IPS |
|
|
Text Classification (Q)
|
97% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
68% |
1666
32.2 IPS |
