Amiya ASUS System Product Name
Geekbench AI Score
2601
Single Precision Score
1090
Half Precision Score
3381
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | comfiestsofa |
| Upload Date | January 16 2026 11:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
96% |
3575
667.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2932
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4063
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3054
3.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
7664
9.06 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
58% |
1982
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
5548
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4939
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1425
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7246
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9539
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6998
9.00 IPS |
|
|
Style Transfer (Q)
|
87% |
12067
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2961
109.7 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.6 IPS |
|
|
Text Classification (Q)
|
97% |
437
585.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1955
37.8 IPS |
