ASUS System Product Name
Geekbench AI Score
1718
Single Precision Score
1719
Half Precision Score
4016
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 04 2025 07:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) 300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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) 300 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
970
180.4 IPS |
|
|
Image Classification (HP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (Q)
|
100% |
2435
452.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2269
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
6566
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
969
76.9 IPS |
|
|
Object Detection (Q)
|
88% |
2412
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (Q)
|
100% |
5601
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2480
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2478
19.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
6399
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5315
6.83 IPS |
|
|
Style Transfer (HP)
|
100% |
5317
6.83 IPS |
|
|
Style Transfer (Q)
|
98% |
18024
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3756
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
1235
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1235
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2540
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2035
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2026
34.9 IPS |
