Razer Blade 16 - RZ09-0528
Geekbench AI Score
2606
Single Precision Score
1229
Half Precision Score
5557
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 08:45 AM |
| Views | 5 |
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 w/ Radeon 890M |
| 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% |
1794
333.5 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
99% |
5176
965.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2603
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4600
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4004
4.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
18714
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
86% |
5722
459.9 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
8018
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5876
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1873
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12617
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11046
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10899
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25434
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2786
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.9 IPS |
|
|
Text Classification (Q)
|
97% |
1114
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1661
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
65% |
2438
49.0 IPS |
