ASUS System Product Name
Geekbench AI Score
6070
Single Precision Score
1896
Half Precision Score
10291
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Majki77 |
| Upload Date | January 08 2026 08:58 PM |
| Views | 8 |
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 | High 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% |
5197
966.5 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (Q)
|
99% |
7676
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13928
226.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11896
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5077
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
38305
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
4715
374.0 IPS |
|
|
Object Detection (HP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (Q)
|
86% |
8767
704.6 IPS |
|
|
Face Detection (SP)
|
100% |
14329
170.3 IPS |
|
|
Face Detection (HP)
|
100% |
1898
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
13128
156.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13658
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2451
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20666
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26734
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12313
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28327
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4260
157.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6971
258.1 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2381
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4065
81.7 IPS |
