ASUS System Product Name
Geekbench AI Score
5882
Single Precision Score
1831
Half Precision Score
9968
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | mistertoi |
| Upload Date | January 18 2026 10:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4700
874.1 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.1 IPS |
|
|
Image Classification (Q)
|
99% |
7884
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13521
219.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11764
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
34543
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (Q)
|
86% |
8523
685.0 IPS |
|
|
Face Detection (SP)
|
100% |
13401
159.2 IPS |
|
|
Face Detection (HP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
12629
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13241
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2386
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19425
155.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25564
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12723
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28947
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4248
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2313
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6893
255.2 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1639
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3850
77.4 IPS |
