ASUS System Product Name
Geekbench AI Score
43639
Single Precision Score
63052
Half Precision Score
32509
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 28 2025 05:22 AM |
| Views | 5 |
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% |
16241
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
20416
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
13955
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30303
491.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
36647
594.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
28013
455.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
383970
448.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
861439
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
313534
367.3 IPS |
|
|
Object Detection (SP)
|
100% |
21183
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
26551
2.11 KIPS |
|
|
Object Detection (Q)
|
85% |
17670
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
60983
724.6 IPS |
|
|
Face Detection (HP)
|
100% |
78217
929.4 IPS |
|
|
Face Detection (Q)
|
97% |
49762
593.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
102802
792.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
184598
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73033
585.0 IPS |
|
|
Style Transfer (SP)
|
100% |
573181
736.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1546734
1.99 KIPS |
|
|
Style Transfer (Q)
|
98% |
482923
622.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70011
2.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88861
3.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50895
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6067
104.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2884
54.1 IPS |
