ASUS System Product Name
Geekbench AI Score
35066
Single Precision Score
47652
Half Precision Score
26488
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | darki73 |
| Upload Date | October 30 2024 04:45 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13001
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
17323
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10983
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19126
310.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22737
368.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18259
296.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
306023
357.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
516822
603.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
266449
312.0 IPS |
|
|
Object Detection (SP)
|
100% |
17313
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
22090
1.75 KIPS |
|
|
Object Detection (Q)
|
89% |
14046
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
44724
531.4 IPS |
|
|
Face Detection (HP)
|
100% |
52996
629.7 IPS |
|
|
Face Detection (Q)
|
97% |
37861
451.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
90838
699.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
151859
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65963
532.0 IPS |
|
|
Style Transfer (SP)
|
100% |
548009
704.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1038708
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
473515
610.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58869
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79403
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43528
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4494
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2147
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4560
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2050
45.7 IPS |
