ASUS System Product Name
Geekbench AI Score
34147
Single Precision Score
55828
Half Precision Score
26064
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 15 2025 08:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14577
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
21796
4.05 KIPS |
|
|
Image Classification (Q)
|
100% |
12752
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21180
343.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27610
447.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19031
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
224776
262.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
655435
764.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
189954
222.5 IPS |
|
|
Object Detection (SP)
|
100% |
18199
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
26457
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
15611
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
45939
545.9 IPS |
|
|
Face Detection (HP)
|
100% |
63364
752.9 IPS |
|
|
Face Detection (Q)
|
97% |
38230
455.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
91311
703.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
166718
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65258
521.1 IPS |
|
|
Style Transfer (SP)
|
100% |
326837
420.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1084149
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
287717
371.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55049
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85119
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41894
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
4137
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2478
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5467
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5399
93.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2698
50.6 IPS |
