ASUS System Product Name
Geekbench AI Score
5753
Single Precision Score
1053
Half Precision Score
6590
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Fasttrack |
| Upload Date | August 29 2024 12:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3356
624.2 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.2 IPS |
|
|
Image Classification (Q)
|
99% |
5024
937.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
4076
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13652
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
42749
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
3977
315.4 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
88% |
2712
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
6841
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (Q)
|
97% |
6994
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13402
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1287
9.91 IPS |
|
|
Depth Estimation (Q)
|
76% |
15747
126.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30644
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13569
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40474
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5900
218.5 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
769
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2542
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3221
71.8 IPS |
