Razer Blade 16 - RZ09-0528
Geekbench AI Score
3477
Single Precision Score
1597
Half Precision Score
7240
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 01:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Razer Blade 16 - RZ09-0528 |
| Motherboard | Razer SO6110 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2632
489.4 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
99% |
6988
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3674
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5915
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5028
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
23643
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.7 IPS |
|
|
Object Detection (Q)
|
86% |
6749
542.4 IPS |
|
|
Face Detection (SP)
|
100% |
5812
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
1691
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
10393
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7431
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2528
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15578
124.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13974
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12336
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30116
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
1661
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
709
945.8 IPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3140
63.1 IPS |
