ASUS System Product Name
Geekbench AI Score
3413
Single Precision Score
1406
Half Precision Score
4689
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dzappone |
| Upload Date | May 01 2025 12:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z490-V |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2784
517.7 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
96% |
4629
864.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2502
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6269
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5491
6.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
13515
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (Q)
|
58% |
3618
395.3 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (Q)
|
96% |
7496
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8664
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2099
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10349
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15942
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14013
18.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13510
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2282
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2553
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.6 IPS |
|
|
Text Classification (Q)
|
97% |
1243
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2731
52.8 IPS |
