ASUS System Product Name
Geekbench AI Score
19731
Single Precision Score
23889
Half Precision Score
15466
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 02:58 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| 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% |
8786
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
10850
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7715
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12630
204.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10514
170.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11124
180.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106031
123.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
169259
197.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
91368
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
7241
574.4 IPS |
|
|
Object Detection (HP)
|
99% |
11096
880.2 IPS |
|
|
Object Detection (Q)
|
89% |
6745
539.9 IPS |
|
|
Face Detection (SP)
|
100% |
22302
265.0 IPS |
|
|
Face Detection (HP)
|
100% |
27927
331.8 IPS |
|
|
Face Detection (Q)
|
97% |
17378
207.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
50839
391.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62031
477.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
40676
332.1 IPS |
|
|
Style Transfer (SP)
|
100% |
182719
234.9 IPS |
|
|
Style Transfer (HP)
|
100% |
274138
352.4 IPS |
|
|
Style Transfer (Q)
|
98% |
164837
212.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31296
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38596
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25046
927.4 IPS |
|
|
Text Classification (SP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2609
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1945
43.4 IPS |
