ASUS System Product Name
Geekbench AI Score
36314
Single Precision Score
49629
Half Precision Score
26871
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650-PLUS |
| Power Plan | Ancels Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13029
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
17156
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
10897
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22625
366.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
27298
442.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20995
341.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
302804
353.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
517115
603.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
261785
306.6 IPS |
|
|
Object Detection (SP)
|
100% |
17902
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
23194
1.84 KIPS |
|
|
Object Detection (Q)
|
89% |
14234
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
49152
584.0 IPS |
|
|
Face Detection (HP)
|
100% |
60028
713.3 IPS |
|
|
Face Detection (Q)
|
97% |
40512
483.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
88941
685.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
150331
1.16 KIPS |
|
|
Depth Estimation (Q)
|
75% |
64389
519.4 IPS |
|
|
Style Transfer (SP)
|
100% |
547096
703.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1062936
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
467078
602.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57011
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75651
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41981
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
4292
5.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2098
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2146
47.9 IPS |
