ASUS System Product Name
Geekbench AI Score
17317
Single Precision Score
29110
Half Precision Score
13403
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 07:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
6876
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11976
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
6041
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12201
197.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16551
268.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11255
183.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
86400
100.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
238428
278.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
78197
91.6 IPS |
|
|
Object Detection (SP)
|
100% |
8775
696.0 IPS |
|
|
Object Detection (HP)
|
100% |
14939
1.19 KIPS |
|
|
Object Detection (Q)
|
89% |
7746
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
19217
228.3 IPS |
|
|
Face Detection (HP)
|
100% |
29955
355.9 IPS |
|
|
Face Detection (Q)
|
97% |
15802
188.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
39123
301.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78455
604.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
30886
259.1 IPS |
|
|
Style Transfer (SP)
|
100% |
142839
183.6 IPS |
|
|
Style Transfer (HP)
|
100% |
364096
468.1 IPS |
|
|
Style Transfer (Q)
|
98% |
131944
170.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29078
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47019
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21440
793.9 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1621
36.2 IPS |
