ASUS System Product Name
Geekbench AI Score
21971
Single Precision Score
35150
Half Precision Score
14534
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 06:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
11316
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
14367
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
8598
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14961
242.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18373
297.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11470
186.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
76389
89.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
332901
388.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63359
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
13511
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
17484
1.39 KIPS |
|
|
Object Detection (Q)
|
87% |
10323
828.6 IPS |
|
|
Face Detection (SP)
|
100% |
29598
351.7 IPS |
|
|
Face Detection (HP)
|
100% |
39538
469.8 IPS |
|
|
Face Detection (Q)
|
97% |
20327
242.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65907
507.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102860
792.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37222
298.3 IPS |
|
|
Style Transfer (SP)
|
100% |
199391
256.3 IPS |
|
|
Style Transfer (HP)
|
100% |
554683
713.1 IPS |
|
|
Style Transfer (Q)
|
98% |
131749
169.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31834
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57681
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16780
621.3 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1960
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1990
37.3 IPS |
