ASUS System Product Name
Geekbench AI Score
2299
Single Precision Score
2364
Half Precision Score
1546
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 10:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS |
| Power Plan | Bilanciato |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (HP)
|
100% |
1041
193.5 IPS |
|
|
Image Classification (Q)
|
100% |
847
157.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1042
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7063
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7762
9.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
4740
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
98% |
936
74.5 IPS |
|
|
Object Detection (Q)
|
86% |
921
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
1661
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4157
32.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4523
35.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3066
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14480
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19253
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10709
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2493
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3433
126.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1255
46.5 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.7 IPS |
|
|
Text Classification (Q)
|
97% |
580
777.0 IPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
512
9.59 IPS |
