ASUS System Product Name
Geekbench AI Score
4840
Single Precision Score
2027
Half Precision Score
9246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | June 25 2025 12:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3820
710.4 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.2 IPS |
|
|
Image Classification (Q)
|
99% |
8373
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4182
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7101
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4839
5.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
25875
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3343
265.2 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
86% |
8990
722.5 IPS |
|
|
Face Detection (SP)
|
100% |
9936
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
11362
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9662
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2838
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22002
175.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17022
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12038
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32629
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3224
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5806
215.0 IPS |
|
|
Text Classification (SP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2339
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5062
101.7 IPS |
