ASUS System Product Name
Geekbench AI Score
4857
Single Precision Score
892
Half Precision Score
5531
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | August 16 2024 12:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Ausbalanciert |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2655
493.8 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
99% |
4457
831.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
3549
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11552
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4892
5.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
35519
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
88% |
2571
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
5819
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
5573
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11262
86.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
76% |
12199
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26076
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12469
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31179
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5246
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2020
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.2 IPS |
|
|
Text Classification (Q)
|
97% |
605
809.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2758
61.5 IPS |
