ASUS System Product Name
Geekbench AI Score
5663
Single Precision Score
1851
Half Precision Score
8990
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | June 03 2025 01:12 AM |
| Views | 7 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4340
807.1 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (Q)
|
99% |
7798
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4443
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10512
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4957
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
32518
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4092
324.6 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
7932
637.5 IPS |
|
|
Face Detection (SP)
|
100% |
11833
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
12538
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12874
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2595
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19350
154.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22614
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12053
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31034
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6002
222.2 IPS |
|
|
Text Classification (SP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2060
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4147
83.3 IPS |
