Razer Blade 16 - RZ09-0528
Geekbench AI Score
4802
Single Precision Score
4865
Half Precision Score
12566
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 29 2025 09:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
2615
486.4 IPS |
|
|
Image Classification (HP)
|
100% |
2681
498.6 IPS |
|
|
Image Classification (Q)
|
100% |
8562
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3312
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7678
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7185
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7226
8.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
26594
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (Q)
|
88% |
8047
645.1 IPS |
|
|
Face Detection (SP)
|
100% |
6529
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
6673
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
19653
233.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8048
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8026
61.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
20258
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20147
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20103
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
73378
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4077
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4180
154.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12142
449.7 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3700
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5318
91.6 IPS |
