GIGABYTE AORUS Master 16 BYH
Geekbench AI Score
26838
Single Precision Score
46761
Half Precision Score
20747
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 06:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GIGABYTE AORUS Master 16 BYH |
| Motherboard | GIGABYTE AORUS Master 16 BYH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
11356
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
15749
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
10395
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19464
315.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
33801
547.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17990
292.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
136174
158.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
392258
457.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
124510
145.8 IPS |
|
|
Object Detection (SP)
|
100% |
13063
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
22142
1.76 KIPS |
|
|
Object Detection (Q)
|
86% |
11685
938.8 IPS |
|
|
Face Detection (SP)
|
100% |
41335
491.2 IPS |
|
|
Face Detection (HP)
|
100% |
62931
747.8 IPS |
|
|
Face Detection (Q)
|
97% |
33486
399.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
61577
474.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
126127
971.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
48497
387.4 IPS |
|
|
Style Transfer (SP)
|
100% |
249165
320.3 IPS |
|
|
Style Transfer (HP)
|
100% |
767098
986.1 IPS |
|
|
Style Transfer (Q)
|
98% |
187486
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36637
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65811
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29370
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4335
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2105
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6128
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2886
54.1 IPS |
