ASUS System Product Name
Geekbench AI Score
43167
Single Precision Score
62110
Half Precision Score
32231
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 28 2025 07:50 PM |
| 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% |
15599
2.90 KIPS |
|
|
Image Classification (HP)
|
100% |
19414
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
13365
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31151
505.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
37894
614.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
28533
464.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
385084
449.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
871478
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312026
365.5 IPS |
|
|
Object Detection (SP)
|
100% |
20821
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
26178
2.08 KIPS |
|
|
Object Detection (Q)
|
85% |
17553
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
59863
711.3 IPS |
|
|
Face Detection (HP)
|
100% |
74606
886.5 IPS |
|
|
Face Detection (Q)
|
97% |
49230
587.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
101289
780.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
182025
1.40 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73275
586.9 IPS |
|
|
Style Transfer (SP)
|
100% |
571006
734.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1535650
1.97 KIPS |
|
|
Style Transfer (Q)
|
98% |
481559
621.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68148
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85693
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49423
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4563
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2315
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6380
109.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2915
54.7 IPS |
