ASUS System Product Name
Geekbench AI Score
4757
Single Precision Score
896
Half Precision Score
5450
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | August 19 2024 03:03 PM |
| Views | 9 |
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% |
2515
467.8 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
99% |
4421
824.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
3400
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11714
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4963
5.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
34707
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3044
241.4 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
88% |
2556
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
5526
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
349
4.14 IPS |
|
|
Face Detection (Q)
|
97% |
5436
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10913
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1053
8.11 IPS |
|
|
Depth Estimation (Q)
|
76% |
11652
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25912
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12525
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29965
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4189
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5726
212.0 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
586
784.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2726
60.8 IPS |
