ASUS System Product Name
Geekbench AI Score
12859
Single Precision Score
19562
Half Precision Score
8845
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Beutegreifer |
| Upload Date | December 22 2024 09:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5029
935.3 IPS |
|
|
Image Classification (HP)
|
100% |
7249
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
3889
723.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7264
117.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9077
147.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6190
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
78990
92.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
208554
243.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
64625
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
6621
525.2 IPS |
|
|
Object Detection (HP)
|
100% |
9415
746.8 IPS |
|
|
Object Detection (Q)
|
89% |
4902
392.4 IPS |
|
|
Face Detection (SP)
|
100% |
14023
166.6 IPS |
|
|
Face Detection (HP)
|
100% |
19665
233.7 IPS |
|
|
Face Detection (Q)
|
97% |
10759
128.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
35875
276.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
59305
456.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
24042
193.6 IPS |
|
|
Style Transfer (SP)
|
100% |
141088
181.4 IPS |
|
|
Style Transfer (HP)
|
100% |
295704
380.1 IPS |
|
|
Style Transfer (Q)
|
98% |
112824
145.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22493
830.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31576
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13933
515.9 IPS |
|
|
Text Classification (SP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2631
3.51 KIPS |
|
|
Text Classification (Q)
|
97% |
985
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (Q)
|
60% |
960
21.4 IPS |
