ASUS System Product Name
Geekbench AI Score
1781
Single Precision Score
1980
Half Precision Score
1388
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 03:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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 | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
598
111.3 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.8 IPS |
|
|
Image Classification (Q)
|
100% |
564
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
10570
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5187
6.08 IPS |
|
|
Object Detection (SP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
89% |
545
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
1097
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3464
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4132
31.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
2970
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11218
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16269
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9899
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2107
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
722
964.0 IPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
508
679.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
60% |
496
11.1 IPS |
