Razer Blade 15 (2022) - RZ09-0421
Geekbench AI Score
2174
Single Precision Score
530
Half Precision Score
2710
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 15 (2022) - RZ09-0421 |
| Motherboard | Razer CH580 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.0 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
99% |
2325
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4015
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
13293
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.5 IPS |
|
|
Object Detection (Q)
|
88% |
1266
101.5 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.57 IPS |
|
|
Face Detection (Q)
|
97% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4535
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
4.99 IPS |
|
|
Depth Estimation (Q)
|
76% |
6031
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9914
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6675
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
15430
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2639
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
434
578.8 IPS |
|
|
Text Classification (Q)
|
97% |
361
483.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1298
28.9 IPS |
