ASUS System Product Name
Geekbench AI Score
35463
Single Precision Score
39559
Half Precision Score
28224
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 04:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14426
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
14988
2.79 KIPS |
|
|
Image Classification (Q)
|
99% |
12314
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23800
385.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21683
351.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22016
358.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
290569
339.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
403912
471.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
256913
300.9 IPS |
|
|
Object Detection (SP)
|
100% |
17334
1.37 KIPS |
|
|
Object Detection (HP)
|
99% |
19007
1.51 KIPS |
|
|
Object Detection (Q)
|
87% |
16180
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
47967
570.0 IPS |
|
|
Face Detection (HP)
|
100% |
53452
635.1 IPS |
|
|
Face Detection (Q)
|
97% |
42786
510.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
76265
587.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
91516
705.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
60476
484.6 IPS |
|
|
Style Transfer (SP)
|
100% |
457284
587.8 IPS |
|
|
Style Transfer (HP)
|
100% |
632515
813.1 IPS |
|
|
Style Transfer (Q)
|
98% |
411218
530.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52047
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59581
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39790
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2405
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5065
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2796
52.4 IPS |
