ASUS System Product Name
Geekbench AI Score
52978
Single Precision Score
78672
Half Precision Score
38940
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kei3000 |
| Upload Date | August 17 2025 02:15 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18770
3.49 KIPS |
|
|
Image Classification (HP)
|
100% |
23976
4.46 KIPS |
|
|
Image Classification (Q)
|
100% |
16108
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41717
676.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
53109
860.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
38066
619.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
456797
533.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1121740
1.31 KIPS |
|
|
Pose Estimation (Q)
|
96% |
365467
428.1 IPS |
|
|
Object Detection (SP)
|
100% |
26473
2.10 KIPS |
|
|
Object Detection (HP)
|
100% |
34995
2.78 KIPS |
|
|
Object Detection (Q)
|
85% |
22328
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
80981
962.2 IPS |
|
|
Face Detection (HP)
|
100% |
105245
1.25 KIPS |
|
|
Face Detection (Q)
|
97% |
64010
763.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
120217
926.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
207340
1.60 KIPS |
|
|
Depth Estimation (Q)
|
77% |
85820
687.4 IPS |
|
|
Style Transfer (SP)
|
100% |
679483
873.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1909048
2.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
564111
727.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81519
3.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106034
3.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57896
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4269
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5088
6.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2599
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
7991
137.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8085
139.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3436
64.4 IPS |
