Razer Blade 16 - RZ09-0528
Geekbench AI Score
8301
Single Precision Score
14165
Half Precision Score
6139
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 23 2025 09:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Razer Blade 16 - RZ09-0528 |
| Motherboard | Razer SO6110 |
| 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% |
2810
522.6 IPS |
|
|
Image Classification (HP)
|
100% |
4600
855.5 IPS |
|
|
Image Classification (Q)
|
100% |
2751
511.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4551
73.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5978
96.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3685
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47673
55.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
114206
133.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
33085
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
100% |
4642
368.2 IPS |
|
|
Object Detection (Q)
|
87% |
2337
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
5906
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
12335
146.6 IPS |
|
|
Face Detection (Q)
|
97% |
5034
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18601
143.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33661
259.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
14290
114.6 IPS |
|
|
Style Transfer (SP)
|
100% |
70938
91.2 IPS |
|
|
Style Transfer (HP)
|
100% |
157316
202.2 IPS |
|
|
Style Transfer (Q)
|
98% |
48007
61.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13545
500.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26650
984.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8429
312.1 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3117
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1778
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1876
35.2 IPS |
