ASUS System Product Name
Geekbench AI Score
5539
Single Precision Score
1851
Half Precision Score
9005
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | May 28 2025 06:12 PM |
| Views | 17 |
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% |
4350
809.0 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (Q)
|
99% |
7464
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4433
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9732
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4995
5.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
32256
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4143
328.7 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
7980
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
11709
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
12282
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12688
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2352
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19741
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22758
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12039
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33081
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2365
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6008
222.5 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2039
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2633
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4192
84.2 IPS |
