ERAZER 16 X1
Geekbench AI Score
31647
Single Precision Score
53459
Half Precision Score
24498
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ERAZER 16 X1 |
| Motherboard | ERAZER X6ARxxxY-W |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12477
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
19688
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
11049
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23387
379.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
32443
525.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21076
342.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
205982
240.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
591383
690.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
175878
206.0 IPS |
|
|
Object Detection (SP)
|
100% |
16030
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
23640
1.88 KIPS |
|
|
Object Detection (Q)
|
86% |
13957
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
45897
545.4 IPS |
|
|
Face Detection (HP)
|
100% |
66564
790.9 IPS |
|
|
Face Detection (Q)
|
97% |
38913
464.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
78367
603.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
159029
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60052
479.5 IPS |
|
|
Style Transfer (SP)
|
100% |
288988
371.5 IPS |
|
|
Style Transfer (HP)
|
100% |
920394
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
256707
331.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45561
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77349
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35315
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4516
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6273
108.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2886
54.1 IPS |
