ASUS System Product Name
Geekbench AI Score
20956
Single Precision Score
34758
Half Precision Score
16163
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 09:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| 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% |
8975
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
13710
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
7873
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14164
229.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18470
299.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13166
214.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
115091
134.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
359792
419.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
101701
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
10611
841.7 IPS |
|
|
Object Detection (HP)
|
100% |
17627
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
9334
747.5 IPS |
|
|
Face Detection (SP)
|
100% |
23240
276.1 IPS |
|
|
Face Detection (HP)
|
100% |
36653
435.5 IPS |
|
|
Face Detection (Q)
|
97% |
19018
226.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
48623
374.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
92842
715.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
38063
314.5 IPS |
|
|
Style Transfer (SP)
|
100% |
203921
262.1 IPS |
|
|
Style Transfer (HP)
|
100% |
492229
632.8 IPS |
|
|
Style Transfer (Q)
|
98% |
180970
233.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34682
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53459
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25999
962.7 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4235
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2129
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1706
38.0 IPS |
