ASUS System Product Name
Geekbench AI Score
20374
Single Precision Score
30870
Half Precision Score
12483
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Markus2801A |
| Upload Date | August 15 2024 07:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z590-A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8031
1.49 KIPS |
|
|
Image Classification (HP)
|
99% |
10978
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
4703
874.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
13855
224.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18358
297.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10479
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
161504
188.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
335845
391.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
119250
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
10444
828.4 IPS |
|
|
Object Detection (HP)
|
100% |
14489
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
7160
573.2 IPS |
|
|
Face Detection (SP)
|
100% |
26381
313.5 IPS |
|
|
Face Detection (HP)
|
100% |
37751
448.6 IPS |
|
|
Face Detection (Q)
|
97% |
17409
207.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
52414
403.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93731
722.1 IPS |
|
|
Depth Estimation (Q)
|
69% |
30322
256.9 IPS |
|
|
Style Transfer (SP)
|
100% |
227310
292.2 IPS |
|
|
Style Transfer (HP)
|
100% |
538171
691.8 IPS |
|
|
Style Transfer (Q)
|
98% |
174105
224.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30789
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45365
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18142
671.8 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3233
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1205
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1087
24.2 IPS |
