ASUS System Product Name
Geekbench AI Score
34552
Single Precision Score
46707
Half Precision Score
26492
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sse |
| Upload Date | December 14 2024 07:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-G GAMING WIFI |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13230
2.46 KIPS |
|
|
Image Classification (HP)
|
99% |
17185
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
11192
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18744
303.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22128
358.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17312
281.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
300362
350.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
497596
580.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
260588
305.3 IPS |
|
|
Object Detection (SP)
|
100% |
17064
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
21773
1.73 KIPS |
|
|
Object Detection (Q)
|
86% |
14522
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
44768
531.9 IPS |
|
|
Face Detection (HP)
|
100% |
54432
646.8 IPS |
|
|
Face Detection (Q)
|
97% |
38409
458.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
91443
704.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
153055
1.18 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67999
543.9 IPS |
|
|
Style Transfer (SP)
|
100% |
545438
701.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1026170
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
464212
598.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56156
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73306
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41293
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4487
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2114
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2195
41.2 IPS |
