ASUS System Product Name
Geekbench AI Score
3423
Single Precision Score
1308
Half Precision Score
6975
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2641
491.1 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
99% |
7156
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3199
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6216
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5061
5.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
26014
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
86% |
7700
618.8 IPS |
|
|
Face Detection (SP)
|
100% |
5962
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
10616
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7431
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1999
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15375
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14840
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12854
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31615
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2918
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
525
700.5 IPS |
|
|
Text Classification (Q)
|
97% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3066
61.6 IPS |
