ASUS System Product Name
Geekbench AI Score
6295
Single Precision Score
2562
Half Precision Score
8669
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | January 22 2025 11:03 AM |
| Views | 2 |
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 STRIX Z790-A GAMING WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5045
938.2 IPS |
|
|
Image Classification (HP)
|
100% |
891
165.7 IPS |
|
|
Image Classification (Q)
|
99% |
9243
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3742
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7879
9.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
33436
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
4792
380.1 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.6 IPS |
|
|
Object Detection (Q)
|
86% |
8798
707.1 IPS |
|
|
Face Detection (SP)
|
100% |
11730
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
12204
145.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13174
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3409
26.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
23372
186.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23864
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19426
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30670
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6759
250.3 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4744
95.3 IPS |
