ASUS System Product Name
Geekbench AI Score
44887
Single Precision Score
66218
Half Precision Score
32624
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 05:13 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16287
3.03 KIPS |
|
|
Image Classification (HP)
|
100% |
21207
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
13977
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33220
538.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
41454
672.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
30368
493.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
372056
434.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
869550
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
284827
333.6 IPS |
|
|
Object Detection (SP)
|
100% |
21930
1.74 KIPS |
|
|
Object Detection (HP)
|
100% |
27723
2.20 KIPS |
|
|
Object Detection (Q)
|
85% |
18205
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
63162
750.5 IPS |
|
|
Face Detection (HP)
|
100% |
80728
959.2 IPS |
|
|
Face Detection (Q)
|
97% |
51948
619.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
102674
791.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
183291
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71501
572.7 IPS |
|
|
Style Transfer (SP)
|
100% |
584438
751.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1646765
2.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
484592
624.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73074
2.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96750
3.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51065
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4913
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2292
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6682
115.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6604
113.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2946
55.3 IPS |
