MTX ASUS System Product Name
Geekbench AI Score
3045
Single Precision Score
810
Half Precision Score
4557
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | saulmaz |
| Upload Date | August 15 2024 05:33 PM |
| Views | 12 |
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 | Paskirstytas |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
99% |
4114
767.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
2661
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6638
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
31009
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
88% |
1828
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (Q)
|
97% |
5384
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6288
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.20 IPS |
|
|
Depth Estimation (Q)
|
76% |
9964
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14214
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13199
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34317
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3289
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
619
825.7 IPS |
|
|
Text Classification (Q)
|
97% |
412
551.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2499
55.8 IPS |
