ASUS System Product Name
Geekbench AI Score
24087
Single Precision Score
26365
Half Precision Score
20410
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 10:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| 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% |
10713
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
10940
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
9643
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9569
155.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9183
148.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9299
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
233812
272.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
311715
363.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
209142
245.0 IPS |
|
|
Object Detection (SP)
|
100% |
10597
840.5 IPS |
|
|
Object Detection (HP)
|
99% |
10997
872.3 IPS |
|
|
Object Detection (Q)
|
87% |
9747
782.8 IPS |
|
|
Face Detection (SP)
|
100% |
25044
297.6 IPS |
|
|
Face Detection (HP)
|
100% |
26350
313.1 IPS |
|
|
Face Detection (Q)
|
97% |
23348
278.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
69863
538.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80184
617.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
57569
461.3 IPS |
|
|
Style Transfer (SP)
|
100% |
358480
460.8 IPS |
|
|
Style Transfer (HP)
|
100% |
465930
599.0 IPS |
|
|
Style Transfer (Q)
|
98% |
315810
407.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39026
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45190
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32677
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4339
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4366
5.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2861
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2427
41.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1730
32.5 IPS |
