Razer Blade 16 - RZ09-0528
Geekbench AI Score
13967
Single Precision Score
20158
Half Precision Score
10352
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 28 2025 02:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 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% |
6624
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7678
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
5445
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8319
134.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9296
150.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7067
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
49181
57.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
188275
219.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
42448
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
8068
640.0 IPS |
|
|
Object Detection (HP)
|
100% |
9332
740.2 IPS |
|
|
Object Detection (Q)
|
87% |
6626
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
17782
211.3 IPS |
|
|
Face Detection (HP)
|
100% |
20999
249.5 IPS |
|
|
Face Detection (Q)
|
97% |
15028
179.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51311
395.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76549
589.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
31245
250.4 IPS |
|
|
Style Transfer (SP)
|
100% |
166974
214.6 IPS |
|
|
Style Transfer (HP)
|
100% |
390415
501.9 IPS |
|
|
Style Transfer (Q)
|
98% |
117042
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23299
860.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34994
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13522
500.7 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2064
2.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1353
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1949
33.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1299
24.4 IPS |
