ASUS System Product Name
Geekbench AI Score
11211
Single Precision Score
17870
Half Precision Score
8101
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 10:57 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% |
6072
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7720
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
4693
872.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6284
101.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7862
127.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5467
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27015
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121716
142.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24369
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
6742
534.8 IPS |
|
|
Object Detection (HP)
|
100% |
8915
707.2 IPS |
|
|
Object Detection (Q)
|
87% |
5536
444.3 IPS |
|
|
Face Detection (SP)
|
100% |
13966
165.9 IPS |
|
|
Face Detection (HP)
|
100% |
18324
217.7 IPS |
|
|
Face Detection (Q)
|
97% |
10677
127.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37034
285.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59189
456.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
23140
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
111549
143.4 IPS |
|
|
Style Transfer (HP)
|
100% |
290454
373.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78226
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18296
675.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32067
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10855
401.9 IPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1455
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1153
21.6 IPS |
