Razer Blade 15 Base Model (Early 2021) - RZ09-0369
Geekbench ML Score
8925
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Razer Blade 15 Base Model (Early 2021) - RZ09-0369 |
| Motherboard | Razer DA560 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4851
907.8 IPS |
|
|
Image Classification (F16)
|
100% |
4839
905.4 IPS |
|
|
Image Classification (I8)
|
100% |
3681
688.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
6093
101.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
6132
102.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
5223
87.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
55111
66.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
58049
70.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
49768
60.3 IPS |
|
|
Object Detection (F32)
|
100% |
3032
226.4 IPS |
|
|
Object Detection (F16)
|
100% |
3053
227.9 IPS |
|
|
Object Detection (I8)
|
63% |
2853
213.0 IPS |
|
|
Face Detection (F32)
|
100% |
13030
154.9 IPS |
|
|
Face Detection (F16)
|
100% |
13156
156.4 IPS |
|
|
Face Detection (I8)
|
89% |
10244
121.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
24815
192.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
26512
205.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
18030
139.8 IPS |
|
|
Style Transfer (F32)
|
100% |
90433
119.0 IPS |
|
|
Style Transfer (F16)
|
100% |
89544
117.8 IPS |
|
|
Style Transfer (I8)
|
98% |
72561
95.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16090
574.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15683
560.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9610
343.2 IPS |
|
|
Text Classification (F32)
|
100% |
1522
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1586
2.28 KIPS |
|
|
Text Classification (I8)
|
98% |
814
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
2496
45.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2444
45.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1310
24.1 IPS |
