ASUS System Product Name
Geekbench AI Score
4604
Single Precision Score
1745
Half Precision Score
7529
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | May 12 2025 04:28 PM |
| Views | 12 |
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. TUF GAMING B760M-PLUS WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3448
641.2 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (Q)
|
99% |
6795
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3697
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7666
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4744
5.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
25938
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (HP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (Q)
|
86% |
6863
551.6 IPS |
|
|
Face Detection (SP)
|
100% |
9200
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
1956
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
10022
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9789
75.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2423
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16509
131.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18056
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12223
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26782
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3449
69.3 IPS |
