GIGABYTE AORUS Master 18 BZH
Geekbench AI Score
7974
Single Precision Score
8221
Half Precision Score
15874
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 01 2025 03:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GIGABYTE AORUS Master 18 BZH |
| Motherboard | GIGABYTE AORUS Master 18 BZH |
| Power Plan | Balanced |
| 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% |
5105
949.3 IPS |
|
|
Image Classification (HP)
|
100% |
5730
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
10133
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7131
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4164
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12562
203.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11372
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11549
13.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
29439
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
5028
398.8 IPS |
|
|
Object Detection (HP)
|
100% |
5976
474.0 IPS |
|
|
Object Detection (Q)
|
88% |
11087
888.8 IPS |
|
|
Face Detection (SP)
|
100% |
14283
169.7 IPS |
|
|
Face Detection (HP)
|
100% |
17493
207.9 IPS |
|
|
Face Detection (Q)
|
100% |
27884
331.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12576
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14378
110.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
29544
229.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27850
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24671
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
84396
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7067
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7137
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16818
622.8 IPS |
|
|
Text Classification (SP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
5994
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6481
111.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3490
60.1 IPS |
