ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
10988
Single Precision Score
17952
Half Precision Score
7730
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | yurnotsoeviltwin |
| Upload Date | November 07 2025 11:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680-ACE IPMI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4577
851.2 IPS |
|
|
Image Classification (HP)
|
99% |
6965
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
3552
662.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5973
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7954
128.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5151
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
63568
74.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
155540
181.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
51940
60.9 IPS |
|
|
Object Detection (SP)
|
100% |
5171
410.2 IPS |
|
|
Object Detection (HP)
|
100% |
8748
693.9 IPS |
|
|
Object Detection (Q)
|
84% |
4162
335.7 IPS |
|
|
Face Detection (SP)
|
100% |
11663
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
16707
198.5 IPS |
|
|
Face Detection (Q)
|
97% |
9682
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27810
214.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55525
429.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
19332
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
107043
137.6 IPS |
|
|
Style Transfer (HP)
|
100% |
251474
323.3 IPS |
|
|
Style Transfer (Q)
|
98% |
84561
109.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18692
690.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30041
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11951
442.5 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3324
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (Q)
|
70% |
936
17.6 IPS |
