ASUS System Product Name
Geekbench AI Score
4143
Single Precision Score
1582
Half Precision Score
5648
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z690-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3370
626.8 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
5971
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2684
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7115
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4805
5.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
24056
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3115
247.1 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (Q)
|
86% |
5326
428.0 IPS |
|
|
Face Detection (SP)
|
100% |
8013
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
8724
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9292
71.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2248
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15341
122.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16779
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11447
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23283
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2929
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2149
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4229
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
1592
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
514
689.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2378
47.8 IPS |
