ASUS System Product Name
Geekbench AI Score
31503
Single Precision Score
45137
Half Precision Score
23925
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 12:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| 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% |
12568
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
17597
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10652
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17614
285.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21496
348.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16485
268.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
256994
299.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
483433
564.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
223089
261.2 IPS |
|
|
Object Detection (SP)
|
100% |
15182
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
20966
1.66 KIPS |
|
|
Object Detection (Q)
|
89% |
12549
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
39092
464.5 IPS |
|
|
Face Detection (HP)
|
100% |
47852
568.6 IPS |
|
|
Face Detection (Q)
|
97% |
33636
401.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
75065
578.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
143649
1.11 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57238
461.1 IPS |
|
|
Style Transfer (SP)
|
100% |
389407
500.6 IPS |
|
|
Style Transfer (HP)
|
100% |
886565
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
345534
445.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54932
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70741
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39796
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4675
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2291
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4543
78.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2061
46.0 IPS |
