ASUS System Product Name
Geekbench AI Score
11879
Single Precision Score
11137
Half Precision Score
7953
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Qstik |
| Upload Date | August 25 2024 04:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z590-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900KF |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3554
660.9 IPS |
|
|
Image Classification (HP)
|
100% |
4628
860.6 IPS |
|
|
Image Classification (Q)
|
100% |
2806
521.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7168
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6936
112.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5548
90.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
99064
115.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53534
62.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
71613
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
4397
348.8 IPS |
|
|
Object Detection (HP)
|
100% |
5799
460.0 IPS |
|
|
Object Detection (Q)
|
89% |
3453
276.4 IPS |
|
|
Face Detection (SP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
11509
136.7 IPS |
|
|
Face Detection (Q)
|
97% |
5655
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28449
219.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23841
184.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
19268
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
161963
208.2 IPS |
|
|
Style Transfer (HP)
|
100% |
83198
107.0 IPS |
|
|
Style Transfer (Q)
|
98% |
114861
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25044
924.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17501
646.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14247
527.5 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2839
49.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1213
27.1 IPS |
