ASUS System Product Name
Geekbench AI Score
1533
Single Precision Score
1547
Half Precision Score
1014
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | morglor |
| Upload Date | August 20 2024 06:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| 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% |
627
116.5 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
100% |
518
96.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5068
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5568
6.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
3425
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.2 IPS |
|
|
Object Detection (HP)
|
98% |
594
47.3 IPS |
|
|
Object Detection (Q)
|
89% |
575
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
949
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2809
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3114
24.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
2047
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10243
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13890
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7663
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2382
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
875
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
383
510.6 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.6 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
292
6.52 IPS |
