ASUS System Product Name
Geekbench AI Score
45454
Single Precision Score
67820
Half Precision Score
33570
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 27 2025 01:11 AM |
| 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% |
16561
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
21264
3.95 KIPS |
|
|
Image Classification (Q)
|
100% |
14242
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35948
582.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
44754
725.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
32471
528.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
387426
452.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
939705
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314939
368.9 IPS |
|
|
Object Detection (SP)
|
100% |
22067
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
28833
2.29 KIPS |
|
|
Object Detection (Q)
|
85% |
18542
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
65961
783.8 IPS |
|
|
Face Detection (HP)
|
100% |
84952
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52679
628.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
103148
794.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
188056
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72948
584.3 IPS |
|
|
Style Transfer (SP)
|
100% |
575135
739.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1638958
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
484437
624.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70042
2.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91292
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51621
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2332
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6816
117.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6971
120.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3004
56.4 IPS |
