ASUS System Product Name
Geekbench AI Score
1679
Single Precision Score
1755
Half Precision Score
1124
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jjurak |
| Upload Date | May 25 2025 07:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 DARK HERO |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (Q)
|
100% |
594
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
740
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4960
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5612
6.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
3370
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
98% |
678
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
670
53.9 IPS |
|
|
Face Detection (SP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
1154
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2983
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3266
25.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2215
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10453
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13949
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7654
9.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2446
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
903
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
496
661.6 IPS |
|
|
Text Classification (Q)
|
97% |
416
556.9 IPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
442
8.29 IPS |
