ASUS System Product Name
Geekbench AI Score
7159
Single Precision Score
2212
Half Precision Score
10194
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | zebra_hun |
| Upload Date | March 23 2026 05:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5775
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
842
156.6 IPS |
|
|
Image Classification (Q)
|
99% |
8227
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11412
185.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13155
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5474
6.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
43005
50.4 IPS |
|
|
Object Detection (SP)
|
100% |
5581
442.7 IPS |
|
|
Object Detection (HP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (Q)
|
86% |
8843
710.7 IPS |
|
|
Face Detection (SP)
|
100% |
17190
204.3 IPS |
|
|
Face Detection (HP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
13953
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16344
125.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2733
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
25803
205.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31239
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13935
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43708
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7670
284.0 IPS |
|
|
Text Classification (SP)
|
100% |
1998
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
701
938.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4012
80.6 IPS |
