Razer Blade 15 Advanced Model (Early 2020) - RZ09-033
Geekbench AI Score
8680
Single Precision Score
12675
Half Precision Score
5997
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | unitMeasure |
| Upload Date | October 30 2024 06:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 Super with Max-Q Design |
| 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% |
2730
507.8 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
100% |
2209
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5573
90.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7764
125.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4470
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
60184
70.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
138391
161.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
49342
57.8 IPS |
|
|
Object Detection (SP)
|
100% |
3814
302.5 IPS |
|
|
Object Detection (HP)
|
100% |
5166
409.8 IPS |
|
|
Object Detection (Q)
|
89% |
3483
278.8 IPS |
|
|
Face Detection (SP)
|
100% |
8882
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
13275
157.7 IPS |
|
|
Face Detection (Q)
|
97% |
7098
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24324
187.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39014
300.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
17800
143.3 IPS |
|
|
Style Transfer (SP)
|
100% |
106154
136.5 IPS |
|
|
Style Transfer (HP)
|
100% |
184243
236.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83536
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12505
461.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20517
757.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8841
327.4 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
99% |
1857
2.48 KIPS |
|
|
Text Classification (Q)
|
97% |
512
685.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
60% |
743
16.6 IPS |
