ASUS System Product Name
Geekbench AI Score
29740
Single Precision Score
44638
Half Precision Score
23306
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-F GAMING |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12209
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
15481
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
10189
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17953
291.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22371
362.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16991
276.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
248617
290.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
611554
713.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
196855
230.6 IPS |
|
|
Object Detection (SP)
|
100% |
13785
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
19495
1.55 KIPS |
|
|
Object Detection (Q)
|
86% |
12587
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
39022
463.7 IPS |
|
|
Face Detection (HP)
|
100% |
49351
586.4 IPS |
|
|
Face Detection (Q)
|
97% |
33854
403.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
82917
638.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
142211
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63464
506.8 IPS |
|
|
Style Transfer (SP)
|
100% |
328484
422.3 IPS |
|
|
Style Transfer (HP)
|
100% |
910974
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
286063
368.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47400
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68664
2.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36143
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2091
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4307
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2373
44.5 IPS |
