ASUS System Product Name
Geekbench AI Score
19274
Single Precision Score
32719
Half Precision Score
12042
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cadillacthewolf |
| Upload Date | March 31 2025 09:12 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7831
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
12407
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
5155
958.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
13856
224.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22251
360.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10786
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
100290
117.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
309970
361.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
80625
94.5 IPS |
|
|
Object Detection (SP)
|
100% |
9447
749.4 IPS |
|
|
Object Detection (HP)
|
100% |
16324
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
6871
553.1 IPS |
|
|
Face Detection (SP)
|
100% |
21928
260.6 IPS |
|
|
Face Detection (HP)
|
100% |
37844
449.7 IPS |
|
|
Face Detection (Q)
|
97% |
16924
201.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
46059
354.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86795
668.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
29420
235.6 IPS |
|
|
Style Transfer (SP)
|
100% |
181259
233.0 IPS |
|
|
Style Transfer (HP)
|
100% |
451571
580.5 IPS |
|
|
Style Transfer (Q)
|
98% |
128581
165.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31998
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43882
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17894
662.6 IPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1287
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4081
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1413
26.5 IPS |
