ASUS System Product Name
Geekbench AI Score
5637
Single Precision Score
1702
Half Precision Score
8386
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mklute |
| Upload Date | February 27 2025 07:36 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% |
4724
878.5 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.3 IPS |
|
|
Image Classification (Q)
|
99% |
7153
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4059
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11659
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4978
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
34435
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4082
323.8 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
7808
627.5 IPS |
|
|
Face Detection (SP)
|
100% |
11568
137.5 IPS |
|
|
Face Detection (HP)
|
100% |
1856
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
11843
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12937
99.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2315
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18119
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26069
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12666
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27549
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2380
87.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5224
193.4 IPS |
|
|
Text Classification (SP)
|
100% |
1907
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1922
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2342
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3715
74.7 IPS |
