ASUS System Product Name
Geekbench AI Score
44386
Single Precision Score
63338
Half Precision Score
33655
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 10 2025 02:58 PM |
| Views | 1 |
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. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17032
3.17 KIPS |
|
|
Image Classification (HP)
|
100% |
21414
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
14811
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26826
434.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31352
508.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25065
407.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
408087
476.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
911026
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326195
382.1 IPS |
|
|
Object Detection (SP)
|
100% |
22072
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
28136
2.23 KIPS |
|
|
Object Detection (Q)
|
85% |
18962
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
57964
688.7 IPS |
|
|
Face Detection (HP)
|
100% |
71113
845.0 IPS |
|
|
Face Detection (Q)
|
97% |
49012
584.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
113797
876.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
191842
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79814
639.3 IPS |
|
|
Style Transfer (SP)
|
100% |
644399
828.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1613563
2.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
539584
695.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74231
2.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95041
3.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53962
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4915
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5657
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5872
101.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2838
53.2 IPS |
