ASUS System Product Name
Geekbench AI Score
8652
Single Precision Score
14083
Half Precision Score
5449
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-E GAMING |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5858
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
5798
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
2427
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5713
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8698
141.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4562
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42392
49.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121741
142.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
38717
45.4 IPS |
|
|
Object Detection (SP)
|
100% |
3969
314.8 IPS |
|
|
Object Detection (HP)
|
100% |
7315
580.2 IPS |
|
|
Object Detection (Q)
|
85% |
3012
242.4 IPS |
|
|
Face Detection (SP)
|
100% |
10810
128.4 IPS |
|
|
Face Detection (HP)
|
100% |
16625
197.5 IPS |
|
|
Face Detection (Q)
|
97% |
8288
98.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18033
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37653
290.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12750
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68561
88.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170015
218.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54414
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13486
498.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19149
707.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7816
289.4 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
99% |
1867
2.49 KIPS |
|
|
Text Classification (Q)
|
97% |
593
793.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (Q)
|
70% |
671
12.6 IPS |
