ASUS System Product Name
Geekbench AI Score
6382
Single Precision Score
1823
Half Precision Score
8752
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | August 24 2025 01:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| 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% |
5224
971.4 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (Q)
|
99% |
7545
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4141
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12988
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5300
6.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
39348
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
4769
378.3 IPS |
|
|
Object Detection (HP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
8309
667.7 IPS |
|
|
Face Detection (SP)
|
100% |
13364
158.8 IPS |
|
|
Face Detection (HP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
13065
155.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14966
115.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2496
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19460
155.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29226
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13264
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30198
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2558
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5253
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1795
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3567
71.7 IPS |
