ASUS System Product Name
Geekbench AI Score
2477
Single Precision Score
654
Half Precision Score
2903
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 01:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII FORMULA |
| Power Plan | Equilibrado |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
97% |
2540
474.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
2018
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4988
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4254
4.96 IPS |
|
|
Pose Estimation (Q)
|
87% |
11565
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
86% |
1526
122.6 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.78 IPS |
|
|
Face Detection (Q)
|
96% |
3220
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5199
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
789
6.08 IPS |
|
|
Depth Estimation (Q)
|
76% |
5896
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12165
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9302
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13169
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2792
103.5 IPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
602
803.6 IPS |
|
|
Text Classification (Q)
|
97% |
436
583.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (Q)
|
60% |
1544
34.4 IPS |
