ASUS System Product Name
Geekbench AI Score
6482
Single Precision Score
1922
Half Precision Score
8190
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 06:54 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5351
995.0 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (Q)
|
99% |
7683
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2631
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4071
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12997
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
40621
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
4784
379.5 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
7381
593.2 IPS |
|
|
Face Detection (SP)
|
100% |
14017
166.6 IPS |
|
|
Face Detection (HP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
12696
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15119
116.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2599
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22489
179.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30671
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13041
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34311
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4368
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6455
239.0 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
645
864.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3553
71.4 IPS |
