ASUS System Product Name
Geekbench AI Score
5637
Single Precision Score
1804
Half Precision Score
9032
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | May 28 2025 06:15 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4478
832.8 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.4 IPS |
|
|
Image Classification (Q)
|
99% |
8067
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4451
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9960
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4957
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
32759
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4099
325.2 IPS |
|
|
Object Detection (HP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (Q)
|
86% |
7945
638.5 IPS |
|
|
Face Detection (SP)
|
100% |
11704
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
12544
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13139
101.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2426
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19242
153.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22799
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12065
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31315
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6041
223.7 IPS |
|
|
Text Classification (SP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2056
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4121
82.8 IPS |
