Razer Blade 15 Advanced Model (Early 2020) - RZ09-033
Geekbench AI Score
1624
Single Precision Score
706
Half Precision Score
1571
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | unitMeasure |
| Upload Date | October 30 2024 06:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10875H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Razer Blade 15 Advanced Model (Early 2020) - RZ09-033 |
| Motherboard | Razer CH551 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (Q)
|
96% |
1338
249.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
964
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3246
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (Q)
|
87% |
5223
6.17 IPS |
|
|
Object Detection (SP)
|
100% |
1041
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
885
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
96% |
2051
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3617
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1009
7.77 IPS |
|
|
Depth Estimation (Q)
|
77% |
2912
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7151
9.19 IPS |
|
|
Style Transfer (HP)
|
100% |
5989
7.70 IPS |
|
|
Style Transfer (Q)
|
87% |
8363
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1476
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (Q)
|
97% |
233
312.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
60% |
898
20.0 IPS |
