ASUS System Product Name
Geekbench AI Score
42455
Single Precision Score
61431
Half Precision Score
31391
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | May 02 2025 08:13 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15491
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
19534
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
13298
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31159
505.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37896
614.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
28209
458.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
380296
443.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
838637
978.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
310190
363.3 IPS |
|
|
Object Detection (SP)
|
100% |
20600
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
25869
2.05 KIPS |
|
|
Object Detection (Q)
|
85% |
17460
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
59958
712.4 IPS |
|
|
Face Detection (HP)
|
100% |
75183
893.3 IPS |
|
|
Face Detection (Q)
|
97% |
43261
515.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
100253
772.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
174768
1.35 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71818
575.2 IPS |
|
|
Style Transfer (SP)
|
100% |
557218
716.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1520938
1.96 KIPS |
|
|
Style Transfer (Q)
|
98% |
471588
608.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64379
2.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84939
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47532
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4458
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6168
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6298
108.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2915
54.7 IPS |
