ASUS System Product Name
Geekbench AI Score
7020
Single Precision Score
2103
Half Precision Score
12204
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 12 2026 07:48 PM |
| Views | 11 |
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 |
| 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% |
5875
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
766
142.4 IPS |
|
|
Image Classification (Q)
|
99% |
8610
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16980
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13721
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5733
6.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
42125
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
5540
439.4 IPS |
|
|
Object Detection (HP)
|
100% |
936
74.2 IPS |
|
|
Object Detection (Q)
|
86% |
9798
787.5 IPS |
|
|
Face Detection (SP)
|
100% |
17358
206.2 IPS |
|
|
Face Detection (HP)
|
100% |
2190
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
15024
179.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16362
126.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2737
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
26846
214.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31085
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13836
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44945
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7765
287.5 IPS |
|
|
Text Classification (SP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1859
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4642
93.3 IPS |
