Razer Blade 14 - RZ09-0508
Geekbench ML Score
13700
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2024 07:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 14 - RZ09-0508 |
| Motherboard | PI4100 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7306
1.37 KIPS |
|
|
Image Classification (F16)
|
100% |
7325
1.37 KIPS |
|
|
Image Classification (I8)
|
100% |
7105
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12683
211.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9623
160.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8566
143.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
73902
89.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
80305
97.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
71362
86.4 IPS |
|
|
Object Detection (F32)
|
100% |
4782
357.0 IPS |
|
|
Object Detection (F16)
|
100% |
4478
334.3 IPS |
|
|
Object Detection (I8)
|
63% |
3339
249.3 IPS |
|
|
Face Detection (F32)
|
100% |
15178
180.5 IPS |
|
|
Face Detection (F16)
|
100% |
17114
203.5 IPS |
|
|
Face Detection (I8)
|
89% |
15889
188.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
43966
341.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
41878
324.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
36806
285.4 IPS |
|
|
Style Transfer (F32)
|
100% |
183328
241.2 IPS |
|
|
Style Transfer (F16)
|
100% |
120099
158.0 IPS |
|
|
Style Transfer (I8)
|
98% |
106868
140.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24484
874.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25434
908.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16666
595.2 IPS |
|
|
Text Classification (F32)
|
100% |
2139
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
2156
3.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1264
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
3808
70.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3802
70.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1822
33.5 IPS |
