ASUS System Product Name
Geekbench AI Score
5573
Single Precision Score
1671
Half Precision Score
8348
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mklute |
| Upload Date | February 27 2025 07:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4637
862.3 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
7310
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4293
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11478
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4978
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
33832
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3916
310.6 IPS |
|
|
Object Detection (HP)
|
100% |
768
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
7795
626.5 IPS |
|
|
Face Detection (SP)
|
100% |
10997
130.7 IPS |
|
|
Face Detection (HP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11446
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12979
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2159
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17928
143.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26227
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12319
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25463
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5417
200.6 IPS |
|
|
Text Classification (SP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3752
75.4 IPS |
