ASUS System Product Name
Geekbench AI Score
4378
Single Precision Score
4426
Half Precision Score
6394
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-F GAMING |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (HP)
|
100% |
2866
532.9 IPS |
|
|
Image Classification (Q)
|
100% |
4616
858.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3355
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5382
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6079
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6162
7.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
11899
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.3 IPS |
|
|
Object Detection (HP)
|
100% |
2786
221.0 IPS |
|
|
Object Detection (Q)
|
87% |
4147
332.6 IPS |
|
|
Face Detection (SP)
|
100% |
5168
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
5028
59.7 IPS |
|
|
Face Detection (Q)
|
97% |
12417
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7381
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7504
57.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
12115
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17378
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16560
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31984
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3427
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3320
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6723
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (Q)
|
91% |
808
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3568
61.5 IPS |
