Razer Blade 16 - RZ09-0528
Geekbench AI Score
3284
Single Precision Score
1582
Half Precision Score
7108
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 10:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 16 - RZ09-0528 |
| Motherboard | Razer SO6110 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
99% |
6021
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3076
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5578
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4617
5.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
25450
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (Q)
|
86% |
7050
566.6 IPS |
|
|
Face Detection (SP)
|
100% |
5689
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
9974
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7778
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2563
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16484
131.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14659
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13740
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30465
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3774
139.8 IPS |
|
|
Text Classification (SP)
|
100% |
1663
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.2 IPS |
|
|
Text Classification (Q)
|
97% |
1701
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3083
61.9 IPS |
