Razer Blade 15 Advanced Model (Early 2020) - RZ09-033
Geekbench AI Score
2210
Single Precision Score
2171
Half Precision Score
3306
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | unitMeasure |
| Upload Date | October 30 2024 06:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10875H CPU @ 2.30GHz |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (Q)
|
100% |
2281
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2402
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3073
3.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
6025
7.07 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (Q)
|
87% |
2206
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
6220
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4092
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4107
31.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
6448
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9131
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8865
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16907
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1848
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3461
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.2 IPS |
|
|
Text Classification (HP)
|
100% |
621
829.2 IPS |
|
|
Text Classification (Q)
|
91% |
487
654.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1878
32.3 IPS |
