ASUS System Product Name
Geekbench AI Score
45339
Single Precision Score
66827
Half Precision Score
33441
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 26 2025 09:36 PM |
| Views | 7 |
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% |
15972
2.97 KIPS |
|
|
Image Classification (HP)
|
100% |
20572
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
14126
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36357
589.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
45410
736.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
32695
531.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
387771
452.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
896849
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
311259
364.6 IPS |
|
|
Object Detection (SP)
|
100% |
22281
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
28159
2.23 KIPS |
|
|
Object Detection (Q)
|
85% |
18298
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
65637
779.9 IPS |
|
|
Face Detection (HP)
|
100% |
85376
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52826
629.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
102704
791.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
184712
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73009
584.8 IPS |
|
|
Style Transfer (SP)
|
100% |
579553
745.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1628459
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
487088
628.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71231
2.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91885
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50681
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2330
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6788
116.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6904
118.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2998
56.2 IPS |
