ASUS System Product Name
Geekbench AI Score
45440
Single Precision Score
66703
Half Precision Score
33351
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 26 2025 09:58 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% |
16243
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
20808
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
14085
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35690
578.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
45048
730.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
32150
522.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
389316
454.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
890318
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
313096
366.7 IPS |
|
|
Object Detection (SP)
|
100% |
22104
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
27862
2.21 KIPS |
|
|
Object Detection (Q)
|
85% |
18345
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
65300
775.9 IPS |
|
|
Face Detection (HP)
|
100% |
84836
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52380
624.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
103190
795.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
187756
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72887
583.8 IPS |
|
|
Style Transfer (SP)
|
100% |
578054
743.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1619138
2.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
484752
625.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71693
2.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91670
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50654
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2299
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6893
118.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6860
118.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3038
57.0 IPS |
