GIGABYTE AORUS Master 16 BYH
Geekbench AI Score
5636
Single Precision Score
2171
Half Precision Score
9582
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 06:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
4011
746.0 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
99% |
7957
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13617
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11747
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
36873
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
4127
327.4 IPS |
|
|
Object Detection (HP)
|
100% |
960
76.1 IPS |
|
|
Object Detection (Q)
|
86% |
9204
739.7 IPS |
|
|
Face Detection (SP)
|
100% |
12585
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
11220
133.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12824
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3014
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20361
162.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25654
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16304
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24051
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2866
105.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6164
228.3 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2690
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3715
74.6 IPS |
