Razer Blade 16 - RZ09-0528
Geekbench AI Score
5140
Single Precision Score
5076
Half Precision Score
13306
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 06:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 16 - RZ09-0528 |
| Motherboard | Razer SO6110 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| 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% |
3147
585.2 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (Q)
|
100% |
8606
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9873
160.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7074
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7038
8.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
26490
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2921
231.7 IPS |
|
|
Object Detection (HP)
|
100% |
2961
234.9 IPS |
|
|
Object Detection (Q)
|
88% |
8946
717.1 IPS |
|
|
Face Detection (SP)
|
100% |
8086
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
7966
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
24276
288.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8068
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7980
61.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
21078
164.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19181
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17945
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64852
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3719
137.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12352
457.4 IPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3846
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5481
94.4 IPS |
