ASUS System Product Name
Geekbench AI Score
4850
Single Precision Score
884
Half Precision Score
5516
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | August 27 2024 03:14 PM |
| Views | 4 |
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% |
2689
500.1 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
4580
854.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
3414
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11850
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4904
5.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
35400
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
3241
257.1 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
88% |
2532
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
5362
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
349
4.14 IPS |
|
|
Face Detection (Q)
|
97% |
5617
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10946
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1065
8.20 IPS |
|
|
Depth Estimation (Q)
|
76% |
11907
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26680
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12663
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30375
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4139
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5379
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
733
978.9 IPS |
|
|
Text Classification (Q)
|
97% |
617
826.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2762
61.6 IPS |
