GIGABYTE AORUS 17H BXF
Geekbench AI Score
23917
Single Precision Score
35975
Half Precision Score
18834
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 06:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GIGABYTE AORUS 17H BXF |
| Motherboard | GIGABYTE AORUS 17H BXF |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8974
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
13113
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
7984
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16118
261.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20418
331.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14693
238.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
137545
160.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
369260
430.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
125373
146.9 IPS |
|
|
Object Detection (SP)
|
100% |
11761
932.9 IPS |
|
|
Object Detection (HP)
|
100% |
17026
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
10209
821.8 IPS |
|
|
Face Detection (SP)
|
100% |
32842
390.2 IPS |
|
|
Face Detection (HP)
|
100% |
44499
528.7 IPS |
|
|
Face Detection (Q)
|
97% |
29308
349.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
60770
468.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98823
763.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
47895
382.9 IPS |
|
|
Style Transfer (SP)
|
100% |
245686
315.8 IPS |
|
|
Style Transfer (HP)
|
100% |
593390
762.8 IPS |
|
|
Style Transfer (Q)
|
98% |
224327
289.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39842
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49519
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29196
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1843
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4252
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4329
74.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2208
41.4 IPS |
