Razer Blade 16 - RZ09-0528
Geekbench AI Score
8004
Single Precision Score
12941
Half Precision Score
6194
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 28 2025 02:17 PM |
| Views | 4 |
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% |
3394
631.1 IPS |
|
|
Image Classification (HP)
|
100% |
4982
926.5 IPS |
|
|
Image Classification (Q)
|
100% |
2896
538.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4511
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5794
93.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3731
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
38457
44.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
92218
107.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32007
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
4101
325.3 IPS |
|
|
Object Detection (Q)
|
87% |
2400
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
6650
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
11660
138.5 IPS |
|
|
Face Detection (Q)
|
97% |
5261
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18914
145.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30513
235.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14089
113.0 IPS |
|
|
Style Transfer (SP)
|
100% |
67631
86.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116009
149.1 IPS |
|
|
Style Transfer (Q)
|
98% |
46266
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10211
377.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25240
932.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9500
351.8 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1648
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1868
35.0 IPS |
