ASUS System Product Name
Geekbench AI Score
7927
Single Precision Score
13832
Half Precision Score
5328
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:23 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% |
3212
597.4 IPS |
|
|
Image Classification (HP)
|
99% |
5544
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
2374
441.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5725
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8540
138.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4464
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
44187
51.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116139
135.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
35279
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.6 IPS |
|
|
Object Detection (HP)
|
100% |
7351
583.1 IPS |
|
|
Object Detection (Q)
|
85% |
2949
237.4 IPS |
|
|
Face Detection (SP)
|
100% |
10390
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
16101
191.3 IPS |
|
|
Face Detection (Q)
|
97% |
8276
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17446
134.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36621
282.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12056
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62379
80.2 IPS |
|
|
Style Transfer (HP)
|
100% |
167616
215.5 IPS |
|
|
Style Transfer (Q)
|
98% |
54559
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13276
490.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18769
693.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7599
281.4 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
99% |
1935
2.58 KIPS |
|
|
Text Classification (Q)
|
97% |
556
745.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (Q)
|
70% |
727
13.6 IPS |
