ASUS System Product Name
Geekbench AI Score
26249
Single Precision Score
38663
Half Precision Score
15841
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 10:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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% |
10574
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
14596
2.72 KIPS |
|
|
Image Classification (Q)
|
100% |
7008
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16372
265.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21628
350.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11917
193.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
182322
212.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
369472
431.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
136794
160.3 IPS |
|
|
Object Detection (SP)
|
100% |
13182
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
18605
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
8763
704.9 IPS |
|
|
Face Detection (SP)
|
100% |
34580
410.9 IPS |
|
|
Face Detection (HP)
|
100% |
46060
547.3 IPS |
|
|
Face Detection (Q)
|
97% |
22888
272.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
64391
496.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111534
859.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
38302
306.7 IPS |
|
|
Style Transfer (SP)
|
100% |
287672
369.8 IPS |
|
|
Style Transfer (HP)
|
100% |
662775
852.0 IPS |
|
|
Style Transfer (Q)
|
98% |
205073
264.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41567
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56938
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22715
841.1 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4259
73.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1563
29.3 IPS |
