ASUS System Product Name
Geekbench AI Score
38438
Single Precision Score
55666
Half Precision Score
28464
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W790E-SAGE SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) w7-3545 |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12824
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
16609
3.09 KIPS |
|
|
Image Classification (Q)
|
100% |
11148
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32341
524.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
39002
632.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29049
472.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
316063
368.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
753696
879.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
260255
304.9 IPS |
|
|
Object Detection (SP)
|
100% |
18903
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
23391
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
15946
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
55982
665.2 IPS |
|
|
Face Detection (HP)
|
100% |
70158
833.6 IPS |
|
|
Face Detection (Q)
|
97% |
46217
551.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89711
691.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
160344
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66091
529.4 IPS |
|
|
Style Transfer (SP)
|
100% |
529154
680.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1321025
1.70 KIPS |
|
|
Style Transfer (Q)
|
98% |
445689
574.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54931
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73692
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43414
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6106
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6081
104.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2502
46.9 IPS |
