ASUS System Product Name
Geekbench AI Score
7801
Single Precision Score
7714
Half Precision Score
16753
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 22 2026 02:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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 | Prestazioni elevate |
| 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% |
4444
826.4 IPS |
|
|
Image Classification (HP)
|
100% |
4484
833.9 IPS |
|
|
Image Classification (Q)
|
100% |
11426
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6252
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6195
100.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12778
207.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13578
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13609
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
25054
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
3994
316.8 IPS |
|
|
Object Detection (HP)
|
100% |
3957
313.9 IPS |
|
|
Object Detection (Q)
|
88% |
12388
993.0 IPS |
|
|
Face Detection (SP)
|
100% |
13274
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
13972
166.0 IPS |
|
|
Face Detection (Q)
|
100% |
28763
341.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12839
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13006
100.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32976
256.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39805
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39969
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
104090
134.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6204
229.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6183
228.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19521
722.9 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (Q)
|
92% |
6170
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3232
55.7 IPS |
