ASUS System Product Name
Geekbench AI Score
36103
Single Precision Score
60614
Half Precision Score
27405
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gakriston |
| Upload Date | August 26 2025 11:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13613
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
21610
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
11951
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27785
450.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
38466
623.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24786
403.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
236167
275.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
709583
828.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
202792
237.5 IPS |
|
|
Object Detection (SP)
|
100% |
18230
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
26948
2.14 KIPS |
|
|
Object Detection (Q)
|
86% |
15740
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53897
640.4 IPS |
|
|
Face Detection (HP)
|
100% |
78873
937.2 IPS |
|
|
Face Detection (Q)
|
97% |
44674
532.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
89028
685.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
166820
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66105
527.9 IPS |
|
|
Style Transfer (SP)
|
100% |
344573
443.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1105095
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
301517
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53068
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82936
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40669
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2292
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6781
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6794
117.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3045
57.1 IPS |
