Razer Blade 15 (2022) - RZ09-0421
Geekbench AI Score
2890
Single Precision Score
2979
Half Precision Score
1761
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1181
219.5 IPS |
|
|
Image Classification (HP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (Q)
|
100% |
961
178.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1403
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12093
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12644
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5992
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
98% |
1304
103.7 IPS |
|
|
Object Detection (Q)
|
89% |
1137
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
1731
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5918
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6851
52.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
3942
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25779
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33676
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16348
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1490
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
354
472.9 IPS |
|
|
Text Classification (Q)
|
97% |
472
632.1 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
60% |
398
8.88 IPS |
