ASUS System Product Name
Geekbench AI Score
34390
Single Precision Score
45852
Half Precision Score
26622
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 06 2024 02:06 PM |
| Views | 7 |
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. ROG STRIX B550-F GAMING |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12653
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
16262
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
10930
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19693
319.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24575
398.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18854
306.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
307263
358.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
507017
591.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
265239
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
16867
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
21301
1.69 KIPS |
|
|
Object Detection (Q)
|
86% |
14246
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
47603
565.6 IPS |
|
|
Face Detection (HP)
|
100% |
57440
682.5 IPS |
|
|
Face Detection (Q)
|
97% |
40423
482.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
90720
698.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
151173
1.16 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66846
534.6 IPS |
|
|
Style Transfer (SP)
|
100% |
546342
702.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1008621
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
463776
598.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54836
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71027
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40714
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3306
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1897
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2373
44.5 IPS |
