ASUS System Product Name
Geekbench AI Score
11193
Single Precision Score
17634
Half Precision Score
8070
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 11:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro B50 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z490-E GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6094
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7569
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
4811
894.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6582
106.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7309
118.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5471
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27142
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
120679
140.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
24481
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
6591
522.8 IPS |
|
|
Object Detection (HP)
|
100% |
8659
686.8 IPS |
|
|
Object Detection (Q)
|
87% |
5498
441.3 IPS |
|
|
Face Detection (SP)
|
100% |
13820
164.2 IPS |
|
|
Face Detection (HP)
|
100% |
18686
222.0 IPS |
|
|
Face Detection (Q)
|
97% |
10467
124.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
36511
281.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57842
445.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
23043
184.9 IPS |
|
|
Style Transfer (SP)
|
100% |
108854
139.9 IPS |
|
|
Style Transfer (HP)
|
100% |
293711
377.6 IPS |
|
|
Style Transfer (Q)
|
98% |
78247
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18535
684.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32268
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10650
394.4 IPS |
|
|
Text Classification (SP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1470
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1120
21.0 IPS |
