ASUS System Product Name
Geekbench AI Score
33765
Single Precision Score
49344
Half Precision Score
25799
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 05:13 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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% |
12740
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
17813
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10920
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21574
349.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27416
444.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19538
317.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
269927
315.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
520928
607.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
235496
275.8 IPS |
|
|
Object Detection (SP)
|
100% |
16726
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23999
1.90 KIPS |
|
|
Object Detection (Q)
|
89% |
14568
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
44861
533.0 IPS |
|
|
Face Detection (HP)
|
100% |
57044
677.8 IPS |
|
|
Face Detection (Q)
|
97% |
37822
451.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
78113
601.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
151743
1.17 KIPS |
|
|
Depth Estimation (Q)
|
70% |
57806
484.2 IPS |
|
|
Style Transfer (SP)
|
100% |
404620
520.1 IPS |
|
|
Style Transfer (HP)
|
100% |
910494
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
357838
461.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55029
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74460
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42203
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
4457
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5386
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5359
92.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2331
52.0 IPS |
