ASUS System Product Name
Geekbench AI Score
6924
Single Precision Score
2156
Half Precision Score
11594
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Glacius99 |
| Upload Date | March 10 2026 02:00 PM |
| Views | 4 |
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. ROG MAXIMUS Z790 APEX |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5767
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
99% |
8403
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16092
261.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14102
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5871
6.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
41134
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
5485
435.1 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (Q)
|
86% |
9797
787.4 IPS |
|
|
Face Detection (SP)
|
100% |
16837
200.1 IPS |
|
|
Face Detection (HP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
14322
170.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16005
123.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2683
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23143
184.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31385
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14028
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40353
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2754
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7788
288.4 IPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1720
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2765
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4497
90.4 IPS |
