ASUS System Product Name
Geekbench AI Score
34349
Single Precision Score
38482
Half Precision Score
26668
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ale |
| Upload Date | November 01 2024 10:37 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14276
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
15547
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
12207
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21333
345.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19468
315.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19749
321.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
286307
334.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
393425
459.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
252237
295.5 IPS |
|
|
Object Detection (SP)
|
100% |
16850
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
18060
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
13981
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
41485
492.9 IPS |
|
|
Face Detection (HP)
|
100% |
45633
542.2 IPS |
|
|
Face Detection (Q)
|
97% |
36210
431.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
73951
569.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
90654
698.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
57939
467.1 IPS |
|
|
Style Transfer (SP)
|
100% |
459588
590.8 IPS |
|
|
Style Transfer (HP)
|
100% |
629679
809.5 IPS |
|
|
Style Transfer (Q)
|
98% |
403964
520.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52112
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60936
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39378
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4468
5.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4304
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2779
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2308
51.5 IPS |
