ASUS System Product Name
Geekbench AI Score
6281
Single Precision Score
6308
Half Precision Score
15345
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 18 2025 01:29 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3908
726.7 IPS |
|
|
Image Classification (HP)
|
100% |
3963
737.0 IPS |
|
|
Image Classification (Q)
|
100% |
9489
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5181
84.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5209
84.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11164
181.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9303
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9127
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
33024
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3370
267.3 IPS |
|
|
Object Detection (HP)
|
100% |
3374
267.6 IPS |
|
|
Object Detection (Q)
|
88% |
10746
861.4 IPS |
|
|
Face Detection (SP)
|
100% |
11302
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
11333
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
24605
292.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9751
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9773
75.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
27941
217.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27173
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27046
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
90953
117.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5159
190.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17315
641.2 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5546
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3070
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3208
55.3 IPS |
