ERAZER 16 X1
Geekbench AI Score
31191
Single Precision Score
52711
Half Precision Score
24173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 01:35 PM |
| Views | 3 |
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% |
12302
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
19035
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
10918
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23176
375.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
32610
528.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20932
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
203126
237.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
579514
676.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
171511
200.9 IPS |
|
|
Object Detection (SP)
|
100% |
15618
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
23444
1.86 KIPS |
|
|
Object Detection (Q)
|
86% |
13791
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
45207
537.2 IPS |
|
|
Face Detection (HP)
|
100% |
66015
784.4 IPS |
|
|
Face Detection (Q)
|
97% |
38394
457.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
76553
589.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
158519
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58747
469.1 IPS |
|
|
Style Transfer (SP)
|
100% |
287300
369.3 IPS |
|
|
Style Transfer (HP)
|
100% |
906114
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
253573
327.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44262
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75694
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34781
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4480
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2873
53.9 IPS |
