ASUS System Product Name
Geekbench AI Score
6994
Single Precision Score
7052
Half Precision Score
16549
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pakhtunov |
| Upload Date | March 26 2025 08:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| 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(R) Core(TM) i9-14900KS |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4026
748.7 IPS |
|
|
Image Classification (HP)
|
100% |
4071
757.0 IPS |
|
|
Image Classification (Q)
|
100% |
10790
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5714
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5746
93.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12358
200.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12928
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12886
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
35589
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
3717
294.9 IPS |
|
|
Object Detection (HP)
|
100% |
3755
297.8 IPS |
|
|
Object Detection (Q)
|
88% |
11736
940.8 IPS |
|
|
Face Detection (SP)
|
100% |
12406
147.4 IPS |
|
|
Face Detection (HP)
|
100% |
12339
146.6 IPS |
|
|
Face Detection (Q)
|
100% |
26546
315.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11733
90.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11824
91.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
31446
244.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33612
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34090
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
99170
127.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18648
690.6 IPS |
|
|
Text Classification (SP)
|
100% |
3345
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5836
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3071
52.9 IPS |
