ASUS System Product Name
Geekbench AI Score
23667
Single Precision Score
34822
Half Precision Score
14426
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 04:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z590-A |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8099
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
11870
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
5545
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17329
280.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23781
385.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12126
197.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
170342
198.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
351059
409.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
127639
149.6 IPS |
|
|
Object Detection (SP)
|
100% |
11390
903.5 IPS |
|
|
Object Detection (HP)
|
100% |
15171
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
8130
654.0 IPS |
|
|
Face Detection (SP)
|
100% |
33477
397.8 IPS |
|
|
Face Detection (HP)
|
100% |
44980
534.5 IPS |
|
|
Face Detection (Q)
|
97% |
22228
265.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
60949
469.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96668
744.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
36272
290.5 IPS |
|
|
Style Transfer (SP)
|
100% |
261110
335.7 IPS |
|
|
Style Transfer (HP)
|
100% |
601181
772.8 IPS |
|
|
Style Transfer (Q)
|
98% |
188989
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34012
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49048
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20925
774.8 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3264
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1526
28.6 IPS |
