ASUS System Product Name
Geekbench AI Score
25905
Single Precision Score
30559
Half Precision Score
19849
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 01:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11338
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
12745
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
9770
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17209
279.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14963
242.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15151
246.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
174181
203.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
261189
304.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
140853
165.0 IPS |
|
|
Object Detection (SP)
|
100% |
12297
975.4 IPS |
|
|
Object Detection (HP)
|
99% |
13735
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
10572
846.6 IPS |
|
|
Face Detection (SP)
|
100% |
30955
367.8 IPS |
|
|
Face Detection (HP)
|
100% |
36612
435.0 IPS |
|
|
Face Detection (Q)
|
97% |
24916
297.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
63309
487.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71951
554.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
48332
396.1 IPS |
|
|
Style Transfer (SP)
|
100% |
306899
394.5 IPS |
|
|
Style Transfer (HP)
|
100% |
453002
582.3 IPS |
|
|
Style Transfer (Q)
|
98% |
255280
329.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34714
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52652
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27764
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3643
4.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2343
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2154
48.0 IPS |
