ASUS System Product Name
Geekbench AI Score
33943
Single Precision Score
45190
Half Precision Score
26266
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | SoulRipper |
| Upload Date | January 18 2025 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12611
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
16168
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
10754
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18124
293.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21088
341.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16857
274.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
303168
353.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
503789
587.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
263215
308.4 IPS |
|
|
Object Detection (SP)
|
100% |
16230
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
20228
1.60 KIPS |
|
|
Object Detection (Q)
|
86% |
13938
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
42891
509.6 IPS |
|
|
Face Detection (HP)
|
100% |
52453
623.3 IPS |
|
|
Face Detection (Q)
|
97% |
37827
451.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
91762
707.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
151660
1.17 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67708
541.5 IPS |
|
|
Style Transfer (SP)
|
100% |
542861
697.9 IPS |
|
|
Style Transfer (HP)
|
100% |
984682
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
463857
598.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55922
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72089
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41662
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4163
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2102
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2259
42.4 IPS |
