ASUS System Product Name
Geekbench AI Score
21807
Single Precision Score
37308
Half Precision Score
40161
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 06:47 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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% |
11147
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
16001
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
17199
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19107
309.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25092
406.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25837
418.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
83131
97.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
315185
367.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
531691
622.5 IPS |
|
|
Object Detection (SP)
|
100% |
10143
804.5 IPS |
|
|
Object Detection (HP)
|
100% |
18058
1.43 KIPS |
|
|
Object Detection (Q)
|
88% |
18914
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
31505
374.3 IPS |
|
|
Face Detection (HP)
|
100% |
45949
546.0 IPS |
|
|
Face Detection (Q)
|
100% |
48243
573.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
59536
458.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
116688
899.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
134757
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
189814
244.0 IPS |
|
|
Style Transfer (HP)
|
100% |
517902
665.8 IPS |
|
|
Style Transfer (Q)
|
98% |
559056
720.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30150
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63942
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60206
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2964
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3767
64.9 IPS |
