ASUS System Product Name
Geekbench AI Score
3888
Single Precision Score
1576
Half Precision Score
6501
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | joeyd |
| Upload Date | March 04 2025 03:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3054
568.0 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
99% |
6235
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3281
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7284
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4374
5.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
23892
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2795
221.7 IPS |
|
|
Object Detection (HP)
|
100% |
743
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
5937
477.2 IPS |
|
|
Face Detection (SP)
|
100% |
5856
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
8841
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8886
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2241
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14299
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16277
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11052
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18954
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4211
155.9 IPS |
|
|
Text Classification (SP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2776
55.8 IPS |
