ASUS System Product Name
Geekbench AI Score
20744
Single Precision Score
32910
Half Precision Score
14192
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 11:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
9683
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
12103
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
8166
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15229
246.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18916
306.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12166
197.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
75732
88.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
330268
385.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64355
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
12756
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
16394
1.30 KIPS |
|
|
Object Detection (Q)
|
89% |
9770
781.7 IPS |
|
|
Face Detection (SP)
|
100% |
26264
312.1 IPS |
|
|
Face Detection (HP)
|
100% |
35210
418.4 IPS |
|
|
Face Detection (Q)
|
97% |
19140
228.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62111
478.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95361
734.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
34718
282.7 IPS |
|
|
Style Transfer (SP)
|
100% |
196615
252.8 IPS |
|
|
Style Transfer (HP)
|
100% |
549201
706.0 IPS |
|
|
Style Transfer (Q)
|
98% |
162093
209.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31118
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55162
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16338
605.0 IPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1855
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1626
36.3 IPS |
