ASUS XF
Geekbench AI Score
3037
Single Precision Score
1309
Half Precision Score
4444
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 03:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS XF |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H370-A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2680
498.5 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
96% |
3985
744.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
4967
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5301
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4721
5.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
10243
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.4 IPS |
|
|
Object Detection (Q)
|
58% |
2574
281.2 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
6089
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6934
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8660
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13040
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11084
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12890
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3802
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1867
36.1 IPS |
