ASUS System Product Name
Geekbench AI Score
2893
Single Precision Score
1378
Half Precision Score
7029
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 31 2026 02:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B560-PLUS AC-HES |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
99% |
6556
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7662
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4516
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
18560
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
6034
484.9 IPS |
|
|
Face Detection (SP)
|
100% |
4148
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
8388
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5853
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1937
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14450
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10185
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9404
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19295
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5684
210.5 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1472
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2676
53.8 IPS |
